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Relevant bibliographies by topics / PM sensor - Particle sensor

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Academic literature on the topic 'PM sensor - Particle sensor'

Author: Grafiati

Published: 1 March 2025

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Journal articles on the topic "PM sensor - Particle sensor"

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Huang, Ching-Hsuan, Jiayang He, Elena Austin, Edmund Seto, and Igor Novosselov. "Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements." PLOS ONE 16, no. 11 (2021): e0259745. http://dx.doi.org/10.1371/journal.pone.0259745.

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Low-cost optical scattering particulate matter (PM) sensors report total or size-specific particle counts and mass concentrations. The PM concentration and size are estimated by the original equipment manufacturer (OEM) proprietary algorithms, which have inherent limitations since particle scattering depends on particles’ properties such as size, shape, and complex index of refraction (CRI) as well as environmental parameters such as temperature and relative humidity (RH). As low-cost PM sensors are not able to resolve individual particles, there is a need to characterize and calibrate sensors

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Hagan, David H., and Jesse H. Kroll. "Assessing the accuracy of low-cost optical particle sensors using a physics-based approach." Atmospheric Measurement Techniques 13, no. 11 (2020): 6343–55. http://dx.doi.org/10.5194/amt-13-6343-2020.

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Abstract. Low-cost sensors for measuring particulate matter (PM) offer the ability to understand human exposure to air pollution at spatiotemporal scales that have previously been impractical. However, such low-cost PM sensors tend to be poorly characterized, and their measurements of mass concentration can be subject to considerable error. Recent studies have investigated how individual factors can contribute to this error, but these studies are largely based on empirical comparisons and generally do not examine the role of multiple factors simultaneously. Here, we present a new physics-based

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Kuo, Yu-Mei, Shin-Yu Weng, Sheng-Hsiu Huang, Chih-Wei Lin, and Chih-Chieh Chen. "2 Low-Cost Pm Sensor Performance Testing." Annals of Work Exposures and Health 67, Supplement_1 (2023): i3. http://dx.doi.org/10.1093/annweh/wxac087.008.

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Abstract Low-cost particulate matters sensors (LCPMS) are widely used in indoor and outdoor air quality monitoring. Previous studies have explored the accuracy and precision of sensors, showing that LCPMS were most accurate for PM with diameters below 1 μm, and they poorly measured PM in the 2.5–5 μm range. The study aimed to investigate the aspiration and transmission efficiency of LCPMS, to set up a standard aerosol mass concentration generation system, to further comprehend the performance characteristics of LCPMS, and to examine the effect of aerosol loading. Three models of Plantower sens

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Bulot, Florentin Michel Jacques, Hugo Savill Russell, Mohsen Rezaei, et al. "Laboratory Comparison of Low-Cost Particulate Matter Sensors to Measure Transient Events of Pollution—Part B—Particle Number Concentrations." Sensors 23, no. 17 (2023): 7657. http://dx.doi.org/10.3390/s23177657.

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Low-cost Particulate Matter (PM) sensors offer an excellent opportunity to improve our knowledge about this type of pollution. Their size and cost, which support multi-node network deployment, along with their temporal resolution, enable them to report fine spatio-temporal resolution for a given area. These sensors have known issues across performance metrics. Generally, the literature focuses on the PM mass concentration reported by these sensors, but some models of sensors also report Particle Number Concentrations (PNCs) segregated into different PM size ranges. In this study, eight units e

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Reynaud, Adrien, Mickael Leblanc, Stéphane Zinola, Philippe Breuil, and Jean-Paul Viricelle. "Soot Particle Classifications in the Context of a Resistive Sensor Study." Proceedings 2, no. 13 (2018): 987. http://dx.doi.org/10.3390/proceedings2130987.

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Since 2011, Euro 5b European standard limits the particle number (PN) emissions in addition to the particulate matter (PM) emissions. New thermal engines equipped vehicles have to auto-diagnose their own Diesel particulate filter (DPF) using on-board diagnostic (OBD) sensors. Accumulative resistive soot sensors seem to be good candidates for PM measurements. The aim of this study is to bring more comprehension about soot micro-structures construction in order to link the response of such a sensor to particle size and PN concentration. The sensor sensitivity to the particle size has been studie

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Reynaud, Adrien, Mickaël Leblanc, Stéphane Zinola, Philippe Breuil, and Jean-Paul Viricelle. "Responses of a Resistive Soot Sensor to Different Mono-Disperse Soot Aerosols." Sensors 19, no. 3 (2019): 705. http://dx.doi.org/10.3390/s19030705.

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Since 2011, the Euro 5b European standard limits the particle number (PN) emissions in addition to the particulate mass (PM) emissions. New thermal engine equipped vehicles also have to auto-diagnose their own particulate filter (Diesel particulate filter or gasoil particulate filter) using on-board diagnostic (OBD) sensors. Accumulative resistive soot sensors seem to be good candidates for PM measurements. The aim of this study is to bring more comprehension about soot microstructures construction in order to link the response of such a sensor to particle size and concentration. The sensor se

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Bächler, P., J. Meyer, and A. Dittler. "Characterization of the emission behavior of pulse-jet cleaned filters using a low-cost particulate matter sensor/Charakterisierung der Emission von druckstoßgereinigten Oberflächenfiltern mit einem Low-Cost-Feinstaubsensor." Gefahrstoffe 79, no. 11-12 (2019): 443–50. http://dx.doi.org/10.37544/0949-8036-2019-11-12-49.

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The reduction of fine dust emissions with pulse-jet cleaned filters plays an important role in industrial gas cleaning to meet emission standards and protect the environment. The dust emission of technical facilities is typically measured “end of pipe”, so that no information about the local emission contribution of individual filter elements exists. Cheap and compact low-cost sensors for the detection of particulate matter (PM) concentrations, which have been prominently applied for immission monitoring in recent years have the potential for emission measurement of filters to improve process

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Li, Liangbo, Ang Chen, Tian Deng, et al. "A Simple Optical Aerosol Sensing Method of Sauter Mean Diameter for Particulate Matter Monitoring." Biosensors 12, no. 7 (2022): 436. http://dx.doi.org/10.3390/bios12070436.

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Mass concentration is a commonly used but insufficient metric to evaluate the particulate matter (PM) exposure hazard. Recent studies have declared that small particles have more serious impacts on human health than big particles given the same mass concentration. However, state-of-the-art PM sensors cannot provide explicit information of the particle size for further analysis. In this work, we adopt Sauter mean diameter (SMD) as a key metric to reflect the particle size besides the mass concentration. To measure SMD, an effective optical sensing method and a proof-of-concept prototype sensor

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Di Antonio, Andrea, Olalekan Popoola, Bin Ouyang, John Saffell, and Roderic Jones. "Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter." Sensors 18, no. 9 (2018): 2790. http://dx.doi.org/10.3390/s18092790.

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There is increasing concern about the health impacts of ambient Particulate Matter (PM) exposure. Traditional monitoring networks, because of their sparseness, cannot provide sufficient spatial-temporal measurements characteristic of ambient PM. Recent studies have shown portable low-cost devices (e.g., optical particle counters, OPCs) can help address this issue; however, their application under ambient conditions can be affected by high relative humidity (RH) conditions. Here, we show how, by exploiting the measured particle size distribution information rather than PM as has been suggested

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Oh, Kwang Chul, Kyoung Bok Lee, and Byeong Gyu Jeong. "Characteristics of Resistive PM Sensors for Onboard Diagnostics of Diesel Particulate Filter Failure." Sensors 22, no. 10 (2022): 3767. http://dx.doi.org/10.3390/s22103767.

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In accordance with the recently reinforced exhaust regulations and onboard diagnostics regulations, it is essential to adopt diesel particulate filter systems in diesel vehicles; a sensor that directly measures particulate matter (PM) in exhaust gas is installed to precisely monitor diesel particulate filter (DPF) failure. Because the reduction of particulate matter in the diesel particulate filter system is greatly influenced by the physical wall structure of the substrate, the presence or absence of damage to the substrate wall (cracks or local melting, etc.) determines the reliability of no

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Dissertations / Theses on the topic "PM sensor - Particle sensor"

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Chander, Bhan Chander Bhan. "Photonics-based environmental sensors for automotive air quality monitoring." Electronic Thesis or Diss., Lyon, INSA, 2024. http://www.theses.fr/2024ISAL0120.

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Cette thèse explore les dispositifs de circuits photoniques intégrés (PIC) basés sur une plateforme en nitrure de silicium (SiN), en mettant l'accent sur leur potentiel pour la détection de particules dans l'air, un élément clé des capteurs de l'indice de qualité de l'air (AQI). La haute sensibilité volumique des résonateurs à anneaux (MRR) dans ces dispositifs permet la détection de faibles concentrations de particules, tandis que les forces optiques permettent le piégeage spécifique à la taille des particules. Pour relever les défis liés au piégeage de particules diélectriques de moins de 10

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Grondin, Didier. "Développement d'un capteur de suies pour application automobile - Etude des paramètres clés affectant sa réponse." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEM012/document.

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Le transport routier est responsable d’une part des émissions de particules fines, notamment dans les grandes agglomérations. Celles-ci ayant des répercussions graves sur la santé humaine et l’environnement, des normes d’émissions des véhicules de plus en plus strictes sont mises en place. Des limites en nombre de particules sont imposées et une obligation de connaitre l’état de santé des organes de post-traitement des gaz d’échappement est également entrée en vigueur (On-Board Diagnostic : OBD).Les capteurs résistifs ont montré de bons résultats pour la mesure de la concentration massique des

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Ing, Garrick. "Distributed particle filters for object tracking in sensor networks." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98971.

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A particle filter (PF) is a simulation-based algorithm used to solve estimation problems, such as object tracking. The PF works by maintaining a set of "particles" as candidate state descriptions of an object's position. The filter determines how well the set of particles describe the observations and fit the dynamic model, in order to form an object state estimate. The drawback of the basic PF is that the algorithm functions by collecting all data at a fusion centre. This leads to high communication and energy costs in a resource-limited network such as the sensor network. In this thesis, we

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Latiff, Nurul Mu'azzah Abdul. "Particle swarm optimisation for clustering in wireless sensor networks." Thesis, University of Newcastle Upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489298.

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One of the mam characteristics which set wireless sensor networks apart from traditional networks is the inclusion of energy consumption as the highest priority optimisation goal. This is because these types of networks work under the general concept that the system lifetime needs to be extended as much as possible, whilst at the same time achieving efficient data forwarding and preventing route disconnections due to sensor node failure. Hence, the use of energy efficient infrastructure such as clustering n:ay lengthen the lifetime of the network and prevent network connectivity degradation th

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Ihler, Alexander T. (Alexander Thomas) 1976. "Inference in sensor networks : graphical models and particle methods." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33206.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 175-183).<br>Sensor networks have quickly risen in importance over the last several years to become an active field of research, full of difficult problems and applications. At the same time, graphical models have shown themselves to be an extremely useful formalism for describing the under

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Campbell, Steven Conner. "DETERMINATION OF ACOUSTIC RADIATION EFFICIENCY VIA PARTICLE VELOCITY SENSOR WITH APPLICATIONS." UKnowledge, 2019. https://uknowledge.uky.edu/me_etds/133.

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Acoustic radiation efficiency is defined as the ratio of sound power radiated to the surface vibration power of a piston with equivalent surface area. It has been shown that the radiation efficiency is maximized and may exceed unity when the structural and acoustic wavelengths are approximately equal. The frequency at which this occurs is called the critical frequency and can be shifted with structural modifications. This has proven to be an effective way to reduce noise. The standard radiation efficiency measurement is comprised of an intensity scan for sound power measurement and acceleromet

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Liu, Xiaoting. "Developing a scientific basis for utilisation of low-cost sensing technologies towards quantitative assessments of air pollution and its sources." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212115/1/Xiaoting_Liu_Thesis.pdf.

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This thesis develops a scientific basis for the use of low-cost sensing technologies for quantitative assessment of air pollution and its sources. It has extensively identified the capabilities and limitations of low-cost sensors in laboratory and field environments. Essentially, it has demonstrated that low-cost sensors are capable of monitoring air quality with a high degree of accuracy in different locations (e.g., highly polluted areas) and for different purposes (e.g., citizen science projects for raising environmental awareness).

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Jagtiani, Ashish V. "DEVELOPMENT OF NOVEL MULTICHANNEL RESISTIVE PULSE SENSORS FOR MICRO-PARTICLE DETECTION AND DIFFERENTIATION." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1196284929.

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Kohlbacher, Anton. "Development of a Novel Relative Localization Sensor." Thesis, Luleå tekniska universitet, Rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-65515.

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By enabling coordinated task execution and movement, robotic swarms can achieve efficient exploration or disaster site management. When utilizing Ultra-wideband (UWB) radio technology for ranging, the proposed relative localization sensor can be made lightweight and relatively indifferent to the ambient environment. Infrastructure dependency is eliminated by making the whole sensor fit on a swarm agent, while allowing for a certain amount of positional error. In this thesis, a novel algorithm is implemented in to constrained hardware and compared to a more traditional trilateration approach. B

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Zhang, Zheng. "RESISTIVE PULSE SENSORS FOR POLLEN PARTICLE MEASUREMENTS." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1145070142.

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Books on the topic "PM sensor - Particle sensor"

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Hartmann, Frank. Evolution of Silicon Sensor Technology in Particle Physics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64436-3.

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Hartmann, Frank. Evolution of Silicon Sensor Technology in Particle Physics. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59720-6.

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Goddard Space Flight Center. Engineering Procurement Office., ed. [Measuring electrically charged particle fluxes in space using a fiber optic loop sensor]: Final report. NASA Goddard Space Flight Center, Engineering Procurement Office, 1993.

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A, Lindemulder Elizabeth, Jovaag Kari, and United States. National Aeronautics and Space Administration., eds. Temperature-dependent daily variability of precipitable water in special sensor microwave/imager observations. National Aeronautics and Space Administration, 1995.

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A, Lindemulder Elizabeth, Jovaag Kari, and United States. National Aeronautics and Space Administration., eds. Temperature-dependent daily variability of precipitable water in special sensor microwave/imager observations. National Aeronautics and Space Administration, 1995.

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Evolution of Silicon Sensor Technology in Particle Physics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/b106762.

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Hartmann, Frank. Evolution of Silicon Sensor Technology in Particle Physics. Springer, 2010.

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Evolution of Silicon Sensor Technology in Particle Physics. Springer Nature, 2017.

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Hartmann, Frank. Evolution of Silicon Sensor Technology in Particle Physics. Springer, 2008.

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Hartmann, Frank. Evolution of Silicon Sensor Technology in Particle Physics. Springer, 2018.

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Book chapters on the topic "PM sensor - Particle sensor"

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Gitahi, Joseph, and Michael Hahn. "Evaluation of Crowd-Sourced PM2.5 Measurements from Low-Cost Sensors for Air Quality Mapping in Stuttgart City." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_14.

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AbstractExposure to particulate matter (PM) pollution poses a major risk to the environment and human health. Monitoring PM pollution is thus crucial to understand particle distribution and mitigation. There has been rapid development of low-cost PM sensors and advancement in the field of Internet of Things (IoT) that has led to the deployment of the sensors by technology-aware people in cities. In this study, we evaluate the stability and accuracy of PM measurements from low-cost sensors crowd-sourced from a citizen science project in Stuttgart. Long-term measurements from the sensors show a strong correlation with measurements from reference stations with most of the selected sensors achieving Pearson correlation coefficients of r > 0.7. We investigate the stability of the sensors for reproducibility of measurements using five sensors installed at different height levels and horizontal distances. They exhibit minor variations with low correlation of variation (CV) values of between 10 and 14%. A CV of ≤10% is recommended for low-cost sensors. In a dense network, the sensors enable extraction pollution patterns and trends. We analyse PM measurements from 2 years using space-time pattern analysis and generate two clusters of sensors that have similar trends. The clustering shows the relationship between traffic and pollution with most sensors near major roads being in the same cluster.

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Eveland, Christopher K. "Particle Filtering with Evidential Reasoning." In Sensor Based Intelligent Robots. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45993-6_17.

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Jacobsen, Finn, and Hans-Elias de Bree. "The Microflown Particle Velocity Sensor." In Handbook of Signal Processing in Acoustics. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-30441-0_68.

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Becker, Aaron, Erik D. Demaine, Sándor P. Fekete, Golnaz Habibi, and James McLurkin. "Reconfiguring Massive Particle Swarms with Limited, Global Control." In Algorithms for Sensor Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45346-5_5.

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Barretta, L., and F. Foncellino. "PM Sensor Based on Piezoelettric MEMS: Mock Up." In Lecture Notes in Electrical Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25706-3_29.

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Kreucher, Christopher M., Mark Morelande, Keith Kastella, and Alfred O. Hero. "Joint Multi-Target Particle Filtering." In Foundations and Applications of Sensor Management. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-49819-5_4.

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Trejo, Raúl Emiliano Gómez, Bernardo Buitrón Rossainz, Jorge Alfredo García Torres, and Antonio Hernández Zavala. "A Study on the Behavior of Different Low-Cost Particle Counter Sensors for PM-10 and PM-2.5 Suspended Air Particles." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18082-8_3.

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Majumdar, Ivy, B. N. Chatterji, and Avijit Kar. "Particle Swarm Optimisation Method for Texture Image Retrieval." In Computational Intelligence in Sensor Networks. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57277-1_17.

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Narkhede, Parag, Shripad Deshpande, and Rahee Walambe. "Sensor Data Cleaning Using Particle Swarm Optimization." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16681-6_18.

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Ristic, Branko. "Sensor Control for Random Set BasedParticle Filters." In Particle Filters for Random Set Models. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6316-0_5.

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Conference papers on the topic "PM sensor - Particle sensor"

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Yaqoob, Irfan, Vijay Kumar, and Shafique Ahmad Chaudhry. "Machine Learning Calibration of Low-Cost Sensor PM_2.5 data." In 2024 IEEE International Symposium on Systems Engineering (ISSE). IEEE, 2024. http://dx.doi.org/10.1109/isse63315.2024.10741149.

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Besch, Marc C., Arvind Thiruvengadam, Hemanth K. Kappanna, et al. "Assessment of Novel In-Line Particulate Matter Sensor With Respect to OBD and Emissions Control Applications." In ASME 2011 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/icef2011-60142.

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Upcoming emissions legislations and On-Board-Diagnostics (OBD) system requirements, both in the US and Europe, impose new challenges for particulate matter (PM) control strategies, especially with regard to upcoming EURO-VI regulations that are expected to limit the particulate number (PN) emissions. Indeed, the US-EPA Heavy-Duty-OBD regulations already require monitoring of diesel particulate filters (DPF) in 2010 for at least one engine series, with extension to all engine series by 2013. Due to the current absence of reliable in-line PM sensors to monitor DPF filtration efficiencies, manufa

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Jagtiani, Ashish, Jiang Zhe, and Bi-min Zhang Newby. "Simultaneous Detection of Multiple Bioparticles With a High Throughput Resistive Pulse Sensor." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15565.

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We describe an all-electronic, label-free, resistive pulse sensor that utilizes multiple micropores for simultaneous detection and counting of multiple biological particles. Four particle samples were utilized for the sensor testing: 20μm and 40μm polymethacrylate (PM) particles, Juniper pollen and Eastern Cottonwood pollen. Experiments demonstrated that this sensor was able to differentiate and count multiple particle solutions simultaneously through its four micropores fabricated on polymer membranes. Thus the sensing throughput has been improved significantly. Furthermore, the experimental

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Osara, Jude A., Timothy T. Diller, Matthew J. Hall, Ronald D. Matthews, and Jakob Heinrich. "Particulate Matter Emissions From a High-Emitting Diesel Vehicle Measured With an On-Board Electronic PM Sensor." In ASME 2010 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/icef2010-35055.

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Measurements of time-resolved particulate matter emissions from a high-emitting light-duty diesel vehicle were made using an electronic particulate matter sensor developed at the University of Texas. The sensor, which is threaded directly through the exhaust pipe wall, detects the time-resolved mass concentration of carbonaceous PM in undiluted vehicle exhaust. The sensor works by detecting an electrical current that is created between two electrodes that have a large potential difference across them; a current is created when particles are present. The sensor was used to characterize the PM e

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Amanatidis, Stavros, Leonidas Ntziachristos, Zissis Samaras, Kauko Janka, and Juha Tikkanen. "Applicability of the Pegasor Particle Sensor to Measure Particle Number, Mass and PM Emissions." In 11th International Conference on Engines & Vehicles. SAE International, 2013. http://dx.doi.org/10.4271/2013-24-0167.

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Adamović, Savka, Rastko Milošević, Bojan Banjanin, Miroslav Dramićanin, Milana Ilić Mićunović, and Aleksandra Mihailović. "THE PARTICULATE MATTER IN THE WORKING ENVIRONMENT OF THE DIGITAL PRINTING MACHINE DETECTED BY STATIONARY AND PERSONAL METHODS." In INTERNATIONAL SYMPOSIUM ON GRAPHIC ENGINEERING AND DESIGN. UNIVERSITY OF NOVI SAD FACULTY OF TECHNICAL SCIENCES DEPARTMENT OF GRAPHIC ENGINEERING AND DESIGN 21000 Novi Sad, Trg Dositeja Obradovića 6, 2024. http://dx.doi.org/10.24867/grid-2024-p71.

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Particulate matter (PM) emitted during the digital printing process is potentially dangerous in the sense that it penetrates deep into the operator's lungs. The mass concentration levels of PM1, PM2.5, and PM10 particles emitted in the working environment of digital machines were measured after applying two sampling methods, spatial and individual. A sensor sampler with an optical particle counter was used for the spatial method, while a personal sampler of particulate materials was applied for the individual process. The paper's primary goal is to assess the comparability of the concentration

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Jain, Praveer Kirtimohan, Omkar Yadav, Chellapandi Chendil, et al. "Soot Sensor Elimination with DPF Substrate Failure Monitoring." In Symposium on International Automotive Technology. SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0153.

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<div class="section abstract"><div class="htmlview paragraph">The automobile industry is going through one of the most challenging times, with increased competition in the market which is enforcing competitive prices of the products along with meeting the stringent emission norms. One such requirement for BS6 phase 2 emission norms is monitoring for partial failure of the component if the tailpipe emissions are higher than the OBD limits. Recently PM (soot) sensor is employed for partial failure monitoring of DPF in diesel passenger cars.. PM sensor detects soot leakage in case of

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Schlender, T. V., G. D. Burchanka, Y. A. Prakopchyk, and E. A. Chumakou. "CHANGE IN THE CONTENT OF PM 2.5 AND PM 10 SOLID PARTICLES IN THE ATMOSPHERIC AIR IN THE AREA OF ZAKHAROV STREET IN MINSK ACCORDING TO THE DATA OF THE AIRMQ SENSOR." In SAKHAROV READINGS 2021: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2021. http://dx.doi.org/10.46646/sakh-2021-2-375-378.

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This article presents the processed data of PM2.5 and PM10 particulate matter of the AirMQ sensor on Zakharova street, Minsk. The 15 minute readings were averaged to the daily average, monthly average and annual average values for the period August 2019 - January 2021. The analysis of data by seasons of the year, by 15-minute periods of observations and by days of the week is presented. Conclusions are made about the possible natural and anthropogenic causes of daily, weekly and seasonal changes in the content of PM2.5 and PM10 solid particles in the surface air at Zakharova Street in Minsk. A

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Cung, Khanh, Gina Buffaloe, Alex Michlberger, et al. "Comparison on Combustion and Emissions Performance of Biodiesel and Diesel in a Heavy-duty Diesel Engine: NO <sub>X</sub> , Particulate Matter, and Particle Size Distribution." In 2023 JSAE/SAE Powertrains, Energy and Lubricants International Meeting. Society of Automotive Engineers of Japan, 2023. http://dx.doi.org/10.4271/2023-32-0100.

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<div class="section abstract"><div class="htmlview paragraph">Low carbon emissions policies for the transportation sector have recently driven more interest in using low net-carbon fuels, including biodiesel. An internal combustion engine (ICE) can operate effectively using biodiesel while achieving lower engine-out emissions, such as soot, mostly thanks to oxygenate content in biodiesel.</div><div class="htmlview paragraph">This study selected a heavy-duty (HD) single-cylinder engine (SCE) platform to test biodiesel fuel blends with 20% and 100% biodiesel content by vo

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Wu, Yidong, Li Shi, Xinxin Wu, Xiaoxin Wang, and Qiankun Xiao. "Flow-Induced Vibration of Two Square Cylinders With Rounded Corners in a Tandem Arrangement." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-90995.

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Abstract Based on the design of the heat transfer tube bundles with square cross section of the steam generators in high temperature reactor-pebble bed modules (HTR-PM), a free-vibration experiment is conducted to examine flow-induced vibration (FIV) characteristic of two identical rounded square cylinders with r/D = 0.12 in tandem arrangements at spacing ratio L/D = 1.5∼5.5. One of the cylinders is two-dimensional, spring mounted, and allowed to vibrate in the cross-flow direction while the other is held stationary. Considering two cases that elastic cylinder located upstream or downstream, t

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Reports on the topic "PM sensor - Particle sensor"

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SEA TECH INC CORVALLIS OR. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251708.

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Bartz, Robert. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251942.

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Bartz, Robert. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada252185.

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Bartz, Robert. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada252186.

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Bartz, Robert. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255702.

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Bartz, Robert. Development of an Expendable Particle Sensor. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada303901.

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Chang, Enson, and R. Patton. Moored optical particle flux sensor (MOPAR). SBIR Phase II interim report. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10200461.

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Orlando, Philip. Modeling Spatiotemporal Patterns of PM 2.5 at the Sub-Neighborhood Scale Using Low-Cost Sensor Networks. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7239.

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Dichter, Bronislaw K., Edward G. Mullen, and Gary E. Galica. Space Particle Modeling, Measurements, and Effects: Compact Environmental Anomaly Sensor (CEASE) Proton Calibration. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada536723.

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Bontha, Jagannadha R., Nancy G. Colton, Eric A. Daymo, T. D. Hylton, C. K. Bayne, and T. H. May. Qualification of the Lasentec M600P Particle Size Analyzer and the Red Valve Model 1151 Pressure Sensor. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/15002697.

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