Relevant bibliographies by topics / Condition Monitoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Condition Monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Condition Monitoring"

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OBA, Takuya, Hiromasa SHIMIZU, Eiichi MORIMOTO, and Naotaka KUMAGAI. "2B14 TEMPERATURE CONDITION MONITORING FOR SHINKANSEN BOGIES(Condition Monitoring-Vehicle)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _2B14–1_—_2B14–9_. http://dx.doi.org/10.1299/jsmestech.2015._2b14-1_.

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Itonaga, Nobuaki, and Hidemi Yano. "354086 DEVELOPMENT OF AUTO MATIC WHEEL CONDITIONS MONITORING SYSTEM(Condition Monitoring,Technical Session)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2009 (2009): _354086–1_—_354086–4_. http://dx.doi.org/10.1299/jsmestech.2009._354086-1_.

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Tsunashima, Hitoshi, Takashi Kojima, Yoshitaka Marumo, Akira Matsumoto, and Takeshi Mizuma. "345303 CONDITION MONITORING OF RAILWAY TRACK USING IN-SERVICE VEHICLE (Condition Monitoring,Technical Session)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2009 (2009): _345303–1_—_345303–6_. http://dx.doi.org/10.1299/jsmestech.2009._345303-1_.

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Oba, Takuya, Koichi Yamada, Hitoshi Soma, and Katsuya Tanifuji. "356776 CONDITION MONITORING FOR SHINKANSEN BOGIES BASED ON VIBRATION ANALYSIS(Condition Monitoring,Technical Session)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2009 (2009): _356776–1_—_356776–6_. http://dx.doi.org/10.1299/jsmestech.2009._356776-1_.

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Naganuma, Yasukuni, Mikihito Kobayashi, and Takayuki Okumura. "355005 INERTIAL MEASUREMENT PROCESSING TECHNIQUES FOR TRACK CONDITION MONITORING ON SHINKANSEN COMMERCIAL TRAINS(Condition Monitoring,Technical Session)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2009 (2009): _355005–1_—_355005–6_. http://dx.doi.org/10.1299/jsmestech.2009._355005-1_.

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Hunt, T. M. "Condition monitoring ′91 — The international conference on condition monitoring." Tribology International 24, no. 6 (December 1991): 409–10. http://dx.doi.org/10.1016/0301-679x(91)90014-z.

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Badran, Rana N., Ihab Adly, and Hani Ghali. "Self-Sufficient Wind Turbine Condition Monitoring System." Journal of Clean Energy Technologies 6, no. 2 (March 2018): 112–16. http://dx.doi.org/10.18178/jocet.2018.6.2.444.

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NAKAMURA, Kazuki, Kunihiro KAWASAKI, Nagateru IWASAWA, Daisuke YAMAGUCHI, and Keiichi TAKEUCHI. "3F25 The Monitoring System Using 90GHz Band for Railway(Condition Monitoring-Infrastructure)." Proceedings of International Symposium on Seed-up and Service Technology for Railway and Maglev Systems : STECH 2015 (2015): _3F25–1_—_3F25–7_. http://dx.doi.org/10.1299/jsmestech.2015._3f25-1_.

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Smith, J. R. "Plant condition monitoring." IEE Proceedings B Electric Power Applications 133, no. 3 (1986): 141. http://dx.doi.org/10.1049/ip-b.1986.0018.

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Finch, Robert D. "Acoustic condition monitoring." Journal of the Acoustical Society of America 104, no. 3 (September 1998): 1789. http://dx.doi.org/10.1121/1.423515.

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Dissertations / Theses on the topic "Condition Monitoring"

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Samouhos, Stephen V. (Stephen Vincent) 1982. "Building condition monitoring." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61611.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 201-206).
The building sector of the United States currently consumes over 40% of the United States primary energy supply. Estimates suggest that between 5 and 30% of any building's annual energy consumption is unknowingly wasted due to pathologically malfunctioning lighting and comfort conditioning systems. This thesis is focused on developing analytical methods embodied within useful software tools to quickly identify and evaluate those building system faults that cause large building energy inefficiencies. The technical contributions of this work include expert rules that adapt to HVAC equipment scale and operation, a general framework for applying probabilistic inference to HVAC fault detection and evaluation, and methods for sorting fault signals according to userdefined interests such as annual cost of energy inefficiencies. These contributions are particularly unique in their treatment of model and measurement uncertainty within the fault inference, and the careful consideration of user interests in fault evaluation. As a first step to developing this general framework for fault detection, I targeted first order faults such as simultaneous heating and cooling and imbalanced air flows within several large air-handling units in three buildings on the MIT campus. Experiments included the purposeful implementation of mechanical and software control programming faults on otherwise fault-free equipment. Between the five pieces of equipment, the software system successfully identified all previously known and experimentally implemented faults, as well as additional faults that had not been previously identified or imposed during the experiment. User testing and experiments show that embracing uncertainty within HVAC fault detection and evaluation is not only paramount to judicious fault inference but it is also central to gaining the trust and buy-in of system users who ultimately can apply fault detection information to actually fix and improve building operations.
by Stephen Samouhos.
Ph.D.
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Danielson, Hugo, and Schmuck Benjamin von. "Robot Condition Monitoring : A first step in Condition Monitoring for robotic applications." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-66011.

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The industrial world is in constant demand for faster, cheaper and higher quality manufacturing. Robot utilisation and automation has evolved to become a necessary asset to master in order to stay competitive in the global market. With the growing dependency on robots, unexpected downtime and brakedowns can cause devastating loss of revenue. Consequently, this has lead to an increased importance for an accurate condition based way of performing robotic maintenance. As of writing, robots are predominantly maintained through time dependent maintenance. Part replacement is based on statistical models where maintenance is performed without taking the actual robot condition into consideration. As a result an overall level of uncertainty is ensued, where lacking the ability to properly diagnose the robot, also leads to superfluous repairs. Because of the costly impact this has on production, a condition based maintenance approach to robots would yield increased reliability at a lower cost of maintenance. This research focuses on trying to monitor vibrations in a robot, so as to infer about wear and to provide a first step in vibration based Robot Condition Monitoring. This research has been of multidisciplinary nature where robotics, tribology, mechanical component, signal analysis and diagnosis theory have overlapped in several areas throughout the project. The research has provided a vibration baseline and trends of the theoretical bearing defect frequencies for a hypocycloid gearbox installed on an ABB IRB6600 robot. The gearbox was not worn to a level that a severe gearbox degradation was irrefutably detectable and analysable. Accelerometers normally used on wind turbines were used for the project, and are believed to be sufficiently successful in capturing bearing related signals to accredit it for continued use at the preliminary stages of Robot Condition Monitoring development. A worn RV410F hypocycloid gearbox, was dismantled and analysed. Bearings found inside indicate high degrees of moisture corrosion and extensive surface wear. These findings had decisive roles in what future work recommendations where presented. Areas with great potential are condition monitoring through the use of Acoustic Emission and lubrication analysis. Further recommendations include investigating signal analysis techniques such as cepstrum pre-whitening and discrete wavelet transforms.
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Blakeley, Bruce. "Audio plant condition monitoring." Thesis, Swansea University, 2001. https://cronfa.swan.ac.uk/Record/cronfa42239.

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Accelerometers are widely used in plant condition monitoring (PCM) to diagnose faults in rotating machinery. This can be expensive, and is typically only used to monitor the condition of critical machines. The objective of this project is to develop a system, using microphones, that could screen less critical machines for faults. Microphones are non-contact sensors that can be placed away from the machines, to avoid damage. If the data gathered by the microphone is reduced to a single parameter, that increases with wear, then analysis would be greatly simplified. This system could be used to provide basic PCM screening for equipment not considered important enough for routine vibration monitoring. To achieve this objective, a test-rig was designed and constructed, consisting of a motor, gearbox and load. Various faults were introduced into the test-rig, and a microphone used to record the sound. These results were then compared to accelerometer readings. Time synchronous averaging (TSA) was employed to increase the signal to noise ratio. It was proven that Kurtosis and crestfactor of a microphone signal both increase, if used with a high pass filter, when an impacting fault such as a broken gearbox tooth was introduced into the test-rig. It proved harder to reduce the sound of other non-impacting faults, such as misalignment, into a single parameter. The technique was tested in an industrial environment with a 100 dB background noise level. It was shown that the technique was capable of detecting faults even with a signal to noise ratio of -15 dB. A one dimensional FEA model was created, with six degrees of freedom, modelling the test-rig's vibrational behaviour. This was used to investigate the affect of a broken tooth, and to explain the increase in noise as the tooth passing frequency coincided with a resonance.
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Shen, Chia-Hsuan. "Acoustic Based Condition Monitoring." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1341797408.

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Stander, Cornelius Johannes. "Condition monitoring of gearboxes operating under fluctuating load conditions." Thesis, University of Pretoria, 2005. http://hdl.handle.net/2263/25604.

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Conventional gearbox vibration monitoring techniques are based on the assumption that changes in the measured structural response are caused by deterioration in the condition of the gears in the gearbox. However, this assumption is not valid under fluctuating load conditions, since the fluctuating load will amplitude modulate the measured vibration signal and cause the rotational speed of the system to change. In general monitoring of machines subject to fluctuating load conditions is dealt with by considering the constant load conditions on gearboxes or during free rotational tests. The need to monitor the condition of large gearboxes in mineral mining equipment has attracted greater interest in order to improve asset management. An inherent need for signal processing techniques, with the ability to indicate degradation in gear condition, under fluctuating load conditions exist. Such techniques should enable the online monitoring of gearboxes that operate under fluctuating load conditions. A continued flow of up to date information should consequently be available for asset and production management. With this research, a load demodulation normalisation procedure was developed to remove the modulation caused by fluctuating load conditions, which obscures the detection of an incipient gear fault conditions. A rotation domain averaging technique is implemented which combines the ability of computer order tracking and time domain averaging to suppress the spectral smearing effect caused by the fluctuation in speed, as well as to suppress the amplitude of the vibration which is not synchronous with the rotation of the gear shaft. It is demonstrated that the instantaneous angular speed of a gearbox shaft can be utilised to monitor the condition of the gear on the shaft. The instantaneous angular speed response measurement is less susceptible to phase distortion introduced by the transmission path when compared to conventional gearbox casing vibration measurements. A phase domain averaging approach was developed to overcome the phase distortion effect of the transmission path under fluctuating load conditions. The load demodulation normalisation and rotation domain averaging signal processing procedures were applied to both the conventional gearbox casing vibration and instantaneous angular speed measurements prior to the calculation of a smoothed pseudo Wigner-Ville distribution of the data. Statistical parameters such as the energy ratio were calculated from the distribution. These parameters could be monotonically trended under different load conditions to indicate the degradation of gear conditions.
Thesis (PhD (Mechanical Engineering))--University of Pretoria, 2005.
Mechanical and Aeronautical Engineering
unrestricted
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Sæther, Jørgen Hagemo. "Choke condition and performance monitoring." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11623.

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Sand production is a common complex problem in the oil and gas industry, and choke valves is typically suffering for this in form of erosive damage. The degree of erosive damage is decided by many different factors where the flow rate velocity and the sand rate are the most important ones. Much effort has been spent on ways of reducing the choke erosion to be able to maintain the oil and gas production at an optimal level with attention to increased profit, safety and availability. Use of Computational Fluid Dynamics (CFD) has been essential in this work by simulating flow through the choke valve for optimizing the choke design, choosing the optimal erosion resistant material, coming up with improved erosion-related models, and optimal operational procedures of the choke. Producing with Acceptable Sand Rate (ASR), which means allowing a certain degree of sand erosion in chokes, have proven to be a successful way of maintaining the oil and gas production at an optimal level. To satisfy ASR-production, demands are made on an optimal use of condition and performance monitoring equipment and tools. The use of the condition and performance monitoring tool INSIGHT (from ABB) has in general proven to be successful for satisfying the ASR-production on different Statoil fields, including Statfjord which is in this thesis the area of focus regarding the use of INSIGHT. Important condition monitoring data such as sand rate, flow rate and pressure necessary to say something about the choke erosion status in INSIGHT must be as good as possible, because the quality of the results are limited by quality of the input data. In this thesis, INSIGHT has been presented, discussed and tested to be able to come up with possible limitations and improvements with special attention to condition monitoring (input) data used in INSIGHT.
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Moussa, Wael. "Thermography-Assisted Bearing Condition Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31379.

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Abstract Despite the large amount of research work in condition based maintenance and condition monitoring methods, there is still a need for more reliable and accurate methods. The clear evidence of that need is the continued dependence on time based maintenance, especially for critical applications such as turbomachinery and airplane engines. The lack of accurate condition monitoring systems could lead to not only the unexpected failures as well as the resulting hazards and repair costs, but also a huge waste of material and time because of unnecessary replacement due to false alarms and unnecessary repair and maintenance. Temperature change is a phenomenon that accompanies every dynamic activity in the universe. However, it has not been adequately exploited for mechanical system condition monitoring. The reason is the slow response of current temperature monitoring systems compared to other condition monitoring methods such as vibration analysis. Many references inferred that the change in temperature is not sensible until approaching the end of the monitored component life and even the whole system life (Kurfess, et al., 2006; Randall, 2011; Patrick, et al., March 7-14, 2009). On the other hand, the most commonly used condition monitoring method, i.e., vibration analysis, is not free from pitfalls. Although vibration analysis has shown success in detecting some bearing faults, for other faults like lubrication problems and gradual wear it is much less effective. Also, it does not give a reliable indication of fault severity for many types of bearing faults. The advancement of thermography as a temperature monitoring tool encourages the reconsideration of temperature monitoring for mechanical system fault detection. In addition to the improved accuracy and responsiveness, it has the advantage of non-contact monitoring which eliminates the need for complex sensor mounting and wiring especially for rotating components. Therefore, in current studies the thermography-based monitoring method is often used either as a distinct method or as a complementary tool to vibration analysis in an integrated condition monitoring system. The main objectives of this study are hence to: 1. Define heat sources in the rolling element bearings and overview two of the most famous bearing temperature calculation methods. 2. Setup a bearing test rig that is equipped with both vibration and temperature monitoring systems. 3. Develop a temperature calculation analytical model for rolling element bearing that include both friction calculation and heat transfer models. The friction calculated by the model will be compared to that calculated using the pre-defined empirical methods. The heat transfer model is used for bearing temperature calculation that will be compared to the experimental measurement using different temperature monitoring devices. 4. Propose a new in-band signal enhancement technique, based on the synchronous averaging technique, Autonomous Time Synchronous Averaging (ATSA) that does not need an angular position measuring device. The proposed method, in addition to the Spectral Kurtosis based band selection, will be used to enhance the bearing envelope analysis. 5. Propose a new method for classification of the bearing faults based on the fault severity and the strength of impulsiveness in vibration signals. It will be used for planning different types of tests using both temperature and vibration methods. 6. Develop and experimentally test a new technique to stimulate the bearing temperature transient condition. The technique is supported by the results of finite element modeling and is used for bearing temperature condition monitoring when the bearing is already running at thermal equilibrium condition.
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Horch, Alexander. "Condition Monitoring of Control Loops." Doctoral thesis, Stockholm : Tekniska högsk, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3050.

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Sandberg, Erik. "Condition monitoring in steel industry." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489505.

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This thesis presents investigations about the applicability of different multivariate statistical methods (OLS, PCA, PCR, PLS) for condition monitoring of steel industry processes (electric arc furnaces and blast furnaces). The work has been focused on three main areas; condition monitoring of blast furnaces (BF), charge material mix optimisation for electric arc furnaces (EAF) and batch-monitoring of EAFs.
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Macintyre, John. "Condition monitoring and neural networks." Thesis, University of Sunderland, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297129.

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Books on the topic "Condition Monitoring"

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Rao, B. K. N., ed. Profitable Condition Monitoring. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1616-9.

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Rao, B. K. N. Profitable Condition Monitoring. Dordrecht: Springer Netherlands, 1993.

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N, Rao B. K., and BHR Group Limited, eds. Profitable condition monitoring. Dordrecht: Kluwer Academic Publishers, 1993.

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Cempel, C. Vibroacoustic condition monitoring. New York: Ellis Horwood, 1991.

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Cempel, Czesław. Vibroacoustic condition monitoring. Edited by Haddad S. D. 1939-. New York: Ellis Horwood, 1991.

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Randall, Robert Bond. Vibration-based Condition Monitoring. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9780470977668.

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Verma, Nishchal K., and Al Salour. Intelligent Condition Based Monitoring. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0512-6.

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Davies, A., ed. Handbook of Condition Monitoring. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4924-2.

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N, Rao B. K., ed. Handbook of condition monitoring. Oxford, UK: Elsevier Advanced Technology, 1996.

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Gelman, Len, Nadine Martin, Andrew A. Malcolm, and Chin Kian (Edmund) Liew, eds. Advances in Condition Monitoring and Structural Health Monitoring. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9199-0.

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Book chapters on the topic "Condition Monitoring"

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Setford, G. A. W. "Bearings — Condition Monitoring, Condition Measurement and Condition Control." In Profitable Condition Monitoring, 231–40. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1616-9_21.

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Reik, Martin, and Jung Frank. "Condition Monitoring." In Encyclopedia of Lubricants and Lubrication, 279–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-22647-2_90.

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Bradley, Edgar. "Condition Monitoring." In Reliability Engineering, 143–62. 2nd ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003326489-4.

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Bradley, Edgar. "Condition Monitoring." In Reliability Engineering, 137–54. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor &: CRC Press, 2016. http://dx.doi.org/10.1201/9781315367422-4.

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Barszcz, Tomasz. "Condition Monitoring Systems." In Applied Condition Monitoring, 87–120. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05971-2_3.

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Myshkin, Nikolai K., and Liubou V. Markova. "Oil Viscosity Monitoring." In Applied Condition Monitoring, 31–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61134-1_2.

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Hurd, Harry, and Vladas Pipiras. "Modeling Periodic Autoregressive Time Series with Multiple Periodic Effects." In Applied Condition Monitoring, 1–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22529-2_1.

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Mastalerz-Kodzis, Adrianna. "Estimation of the Pointwise Hölder Exponent in Time Series Analysis." In Applied Condition Monitoring, 175–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22529-2_10.

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Brzozowska-Rup, Katarzyna. "Application of the CIR Model for Spot Short Interest Rates Modelling on the Polish Market." In Applied Condition Monitoring, 185–203. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22529-2_11.

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Reisen, Valdério Anselmo, Céline Lévy-Leduc, Higor Henrique Aranda Cotta, Pascal Bondon, Marton Ispany, and Paulo Roberto Prezotti Filho. "An Overview of Robust Spectral Estimators." In Applied Condition Monitoring, 204–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22529-2_12.

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Conference papers on the topic "Condition Monitoring"

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Whyte, G. "Aircraft airborne condition monitoring experiences and expectations." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030001.

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Zammit-Mangion, D. "The role of take-off performance monitoring in future integrated aircraft safety systems." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030002.

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Provost, M. J. "Kalman filtering applied to time series analysis." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030003.

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Gribble, J. J. "A model based approach to real-time aero-engine condition monitoring." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030004.

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Tanner, G. F. "An integrated engine health monitoring system for gas turbine aero-engines." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030005.

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Larder, B. D. "Assessing the benefit of helicopter health and usage monitoring systems." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030006.

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Shephard, D. J. "Jet engine condition monitoring using radar." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030007.

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Ong, M. "Future trends in aircraft engine monitoring." In Aircraft Airborne Condition Monitoring. IEE, 2003. http://dx.doi.org/10.1049/ic:20030008.

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Laggan, P. A. "Vibration monitoring." In IEE Colloquium Understanding Your Condition Monitoring. IEE, 1999. http://dx.doi.org/10.1049/ic:19990653.

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Rusov, V., and S. Zhivodernikov. "Transformer condition monitoring." In 2008 International Conference on Condition Monitoring and Diagnosis. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580453.

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Reports on the topic "Condition Monitoring"

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Villaran, M., R. Lofaro, and na. Condition Monitoring of Cables Task 3 Report: Condition Monitoring Techniques for Electric Cables. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/1013436.

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Green, Andre Walter. Navy Condition-Based Monitoring Project Updates. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1634947.

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Ulerich, Nancy, Getnet Kidane, Christine Spiegelberg, and Nikolai Tevs. Condition Based Monitoring of Gas Turbine Combustion Components. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1117202.

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Green, Andre Walter. Navy Condition Based Monitoring Project Update: Requested Materials. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1634945.

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Sundararajan, Visvanatha. Laboratory Equipment for Machinery Condition Monitoring and Diagnostics. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada416046.

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Huang, Haiying, Ankur Jain, Jian Luo, Franck Mbanya Tchafa, Jun Yao, and Jiuyuan Nie. Distributed Wireless Antenna Sensors for Boiler Condition Monitoring. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1503678.

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Green, Andre. Navy Condition-Based Monitoring Project Update: Distances Overview. Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1657094.

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Green, Andre. Navy Condition-Based Monitoring Project Update: Model Selection. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1679993.

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Schimpf, Andrew, L. D. Stephenson, and Ashok Kumar. Condition Monitoring Technology for Civil Works Lock Operating Machinery. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada417254.

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10

Sheng, Shuangwen. Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1048981.

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