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Journal articles on the topic 'Equipment'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 August 2024

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1

Zhang, Ming, Hai Jun Su, Long Yuan, and Jing Tao. "Research on Problems and Basal Theory of Engineering Equipment’s Maintainability Test." Advanced Materials Research 328-330 (September 2011): 2446–49. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2446.

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Engineering equipment is an important element of modern information operation. Because of the special operational function, engineering equipment will be confronted with more attack and damage probabilities than other equipments. Nowadays maintain is become an important factor to keep and even improve operation effectiveness of engineering equipment, and maintainability test is the main means to evaluate engineering equipment’s maintainability. But according to late information of maintainability test study, guide and experience are lacked in engineering application of engineering equipment’s maintainability test, and many problems are existed in engineering equipment’s maintainability test obstinately. To improve ways of engineering equipment’s maintainability test and evaluate engineering equipment’s maintainability more scientifically, the content and the procedure of engineering equipment’s maintainability test are brought forward.

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2

Puthussery, Honeylal. "Ways of Being of Equipment: A Heideggerian Enquiry into Design Process." Tattva - Journal of Philosophy 11, no. 1 (January 1, 2019): 31–52. http://dx.doi.org/10.12726/tjp.21.3.

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The paper lays out an ontological enquiry into the ways of ‘being of equipment’ as analysed by Heidegger and its role in understanding the design process. Equipments are things that make up our world. It is hard to imagine living without things because our existence is thingly textured. Heidegger’s analytics of equipment far exceeds the ontic sense of things. The argument is that there is a danger when designers limit themselves with the ontic understanding of equipment. Such an understanding coaxes us to believe in the half-baked truth about equipment- an isolated instance of a piece of artifact and leave us ignorant of the equipment's character as a part of an equipment structure. An ontological reflection on equipment brings forth its relational nature and can be rewarding in several ways in improving its design process.

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3

Li, Jun, Qing Wei Dong, Ye Zhan, and Xiang Bin Yu. "Reliability Study of Aviation Equipment." Advanced Materials Research 933 (May 2014): 428–33. http://dx.doi.org/10.4028/www.scientific.net/amr.933.428.

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It is well-known that reliability of equipment is the most important of all performance to all equipments. In order to make the equipments which include mechanical equipments, electrical equipments and so on work normally, reliability theory FMECA is applied in an aviation equipment to study its reliability and improve operational reliability of the product. Through its reliability mathematical model, average of operational time is predicted based on calculating failure probability of all electrical components. According to the process of FMECA, all kinds of the failure mode, reasons, effects and criticality of the products can be determined completely. By comparing these criticality data as shown, the paper analyses adopted method by that the contents, accents and operating process of maintenance may be instituted finally. FMECA-based method for reliability study of the equipment and the equipment maintenance perform well. The results indicate that application of FMECA method can analyze reliability in detail and improve operational reliability of the equipment. Therefore this will supply theoretical bases and concrete measures of maintenance of the products to improve operational reliability of products. FMECA can be feasible and effective for improving operational reliability of all equipments.

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4

Li, Qiang, Sifeng Liu, and Saad Ahmed Javed. "Two-stage multi-level equipment grey state prediction model and application." Grey Systems: Theory and Application 12, no. 2 (October 15, 2021): 462–82. http://dx.doi.org/10.1108/gs-03-2021-0046.

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PurposeThe purpose of this paper is to develop a new approach for equipment states prediction and provide a method for early warning of possible trouble states.Design/methodology/approachA new two-stage multi-level equipment state classification system was proposed to forecast equipment operation status. The first stage involves predicting the equipment's normal state, and the second stage involves forecasting the equipment's abnormal status. Meanwhile, the equipment state classification is done according to the manufacturing company's internal specifications to define various equipment statuses. Then, the trouble state and waiting state were predicted by grey state prediction model.FindingsA new two-stage multi-level equipment status classification system and a new approach for equipment states prediction has been proposed in this paper.Practical implicationsThe application on a real-world case shown that the model is very effective for predicting equipment state. The equipment's major failure risk can be reduced significantly.Originality/valueThe proposed approach can help improve the effective prediction of the equipment's various operation states and reduce the equipment's major failure risk and thus maintenance costs.

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5

Li, Bocong. "On Equipment and Equipment Philosophy." Journal of Engineering Studies 13, no. 06 (December 1, 2021): 511–20. http://dx.doi.org/10.3724/sp.j.1224.2021.00511.

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6

Hao, Su Li, and Hai Yan Chu. "Design of the Risk Evaluation Indicator System and Weight of Special Equipment User." Advanced Materials Research 753-755 (August 2013): 2935–40. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2935.

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The weight is description of the risk intensity. The paper using special equipment user as object to researched the equipment risk evaluation indicator system and weights. Firstly, according to the nature of enterprises, the special equipment user has been divided into four categories: the user of passenger ropeway and large recreational facilities; the user of pressure equipments; the manufacture which the pressure equipments are not the main production equipments; the user of non manufacture which are not the main production equipments. Secondly the AHP has been applied to calculate the basic weight of special equipment user risk evaluation indicator system, and the weight index has been applied to adjustment the weights. Finally the SINOPEC CATALYST company has been applied to verify the model.

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7

Wang, Shu Li, Lei Wei, and Hai Zhang. "Study on Naval Airport Aerial Equipment Distributed Storage System." Advanced Materials Research 228-229 (April 2011): 942–46. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.942.

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Naval airport aerial equipment support leads a vital status in aerial equipment support, a key point to support airport aerial equipment is the warehouse, but most existents are single and fixed, survival risk of the warehouse becomes an important threat to combat ability of airplane. Aimed at reducing risk of naval airport aerial equipment warehouse in wartime, a distributed system was given to optimize the naval airport aerial equipment storage solution. This system effects not only on reducing risks in wartime equipments supply, but also on equipment transferring support. Based on analysis of the necessity and feasibility of distributed storage, this paper introduce structure and operation process of the system in detail, and some constructive suggestion was given to naval airport aerial equipments storage.

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8

Liu, Chong, Bo Han Zhong, Yu Feng Zhang, and Jin Song Kan. "Research on Calibration of Power IGBT Model Test Equipment." Applied Mechanics and Materials 644-650 (September 2014): 3936–39. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3936.

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Power IGBT module and its dynamic and static test equipments are widely used. How to calibrate the IGBT module test equipments is in great demand. Based on the investigation of domestic and foreign method for power IGBT module test equipment calibration, the calibration method of the important parameters, pulse current, for this equipment were researched in this passage. the Rogowski coil and the data acquisition unit were used to realize the pulse current amplitude (up to 5000A) calibration. Calibration device for power IGBT module test equipment was setup, calibration specification for power IGBT module test equipment was authorized to ensure the values of power IGBT module test equipment.

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9

Han, Wen Min, Ying Chen, and Jin Lei Zhao. "A Methodology Based on Resource Elements for Equipment Capability Analysis Oriented Virtual Cellular Manufacturing Systems." Advanced Materials Research 712-715 (June 2013): 3153–60. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.3153.

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This paper analyzed the demand for equipment capability analysis in virtual cellular manufacturing systems, and then recognized that the traditional methodologies for equipment capability analysis can no longer present unique and shared capability boundaries of equipments. A new methodology for equipment capability analysis termed resource elements was reported. Moreover, the concrete realization process of resource elements was proposed. After did clustering analysis on the distribution of form generating schema among the equipments using SAS analysis software, an equipment resource model was constructed based on resource elements. The reported results show that the use of resource elements makes description about the functional characteristics among the equipments more clearly. Furthermore, the proposed method laid a foundation of recognition for virtual formation.

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10

Smolyak, Sergey. "Valuation of used machinery based on the new model of its degradation." Applied Mathematics and Control Sciences, no. 2 (June 15, 2023): 116–32. http://dx.doi.org/10.15593/2499-9873/2023.1.08.

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We propose a new model of equipment degradation. In it, the machine is subjected to random latent failures, the danger of which depends on the equipment condition and after each failure the intensity of the equipment's benefits decreases by a random amount. Equipment that brings negative benefits is subject to decommissioning. The model parameters are found based on known information about the average value and the coefficient of variation of the equipment lifetime. Market value of equipment is determined by discounting the flow of benefits from its future use. This allows us to find the dependence of the equipment’s market value on the benefits it brings. Assessing the market value of new equipment is usually not difficult, but it is much more difficult to do this for used equipment items. Appraisers are usually unable to estimate the value of the work performed by equipment, and when valuing a used equipment, they have to rely on its age. To do this, the market value of a similar new equipment is usually reduced by a depreciation factor or multiplied by Percent Good Factor (PGF, relative value), depending on the age of equipment being valued. However, equipment of the same age may be in different conditions and, therefore, have a different market value. Therefore, such PGFs, in fact, relate to the average equipment that has survived to the appropriate age. Appraisers determine them by formulas or tables that are usually not supported by proper justifications. The proposed model makes it possible to build the dependence of the average PGF on age and calculate the market value of the work performed by machines, even if such works are not traded on the market. It turns out that it is possible to take into account the influence of the utilization cost of the machine and inflation in the model. The results of experimental calculations performed using the model (with calibration parameters selected appropriately) are in good agreement with the market prices of some types of construction equipment.

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11

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 85, no. 1 (January 1985): 59. http://dx.doi.org/10.1097/00000446-198501000-00020.

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12

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 85, no. 2 (February 1985): 192. http://dx.doi.org/10.1097/00000446-198502000-00024.

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13

&NA;. "EQUIPMENT." AJN, American Journal Of Nursing 85, no. 3 (March 1985): 289. http://dx.doi.org/10.1097/00000446-198503000-00025.

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14

&NA;. "EQUIPMENT." AJN, American Journal Of Nursing 85, no. 7 (July 1985): 825. http://dx.doi.org/10.1097/00000446-198507000-00032.

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15

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 85, no. 11 (November 1985): 1289–90. http://dx.doi.org/10.1097/00000446-198511000-00032.

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16

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 2 (February 1986): 191. http://dx.doi.org/10.1097/00000446-198602000-00032.

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17

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 4 (April 1986): 392. http://dx.doi.org/10.1097/00000446-198604000-00018.

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18

&NA;. "EQUIPMENT." CIN: Computers, Informatics, Nursing 20, no. 3 (May 2002): 85–86. http://dx.doi.org/10.1097/00024665-200205000-00006.

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19

Meyer, Charles. "EQUIPMENT." AJN, American Journal of Nursing 92, no. 8 (August 1992): 32–37. http://dx.doi.org/10.1097/00000446-199208000-00016.

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20

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 92, no. 12 (December 1992): 16B. http://dx.doi.org/10.1097/00000446-199292120-00006.

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21

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 6 (June 1986): 661. http://dx.doi.org/10.1097/00000446-198606000-00007.

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22

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 8 (August 1986): 933–36. http://dx.doi.org/10.1097/00000446-198608000-00026.

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23

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 9 (September 1986): 1040. http://dx.doi.org/10.1097/00000446-198609000-00028.

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24

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 10 (October 1986): 1. http://dx.doi.org/10.1097/00000446-198610000-00023.

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25

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 11 (November 1986): 1283. http://dx.doi.org/10.1097/00000446-198611000-00018.

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26

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 12 (December 1986): 1417. http://dx.doi.org/10.1097/00000446-198612000-00027.

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27

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 6 (June 1986): 661. http://dx.doi.org/10.1097/00000446-198686060-00007.

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28

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 86, no. 10 (October 1986): 1. http://dx.doi.org/10.1097/00000446-198686100-00023.

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29

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 87, no. 7 (July 1987): 959–60. http://dx.doi.org/10.1097/00000446-198707000-00028.

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30

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 87, no. 8 (August 1987): 1085. http://dx.doi.org/10.1097/00000446-198708000-00023.

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31

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 88, no. 1 (January 1988): 80. http://dx.doi.org/10.1097/00000446-198801000-00026.

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32

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 88, no. 2 (February 1988): 216. http://dx.doi.org/10.1097/00000446-198802000-00022.

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33

&NA;. "EQUIPMENT." AJN, American Journal of Nursing 88, no. 12 (December 1988): 1713. http://dx.doi.org/10.1097/00000446-198888120-00030.

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34

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 89, no. 3 (March 1989): 382. http://dx.doi.org/10.1097/00000446-198903000-00026.

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35

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 89, no. 5 (May 1989): 694B. http://dx.doi.org/10.1097/00000446-198905000-00026.

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36

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 89, no. 7 (July 1989): 966. http://dx.doi.org/10.1097/00000446-198907000-00021.

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37

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 89, no. 8 (August 1989): 1072. http://dx.doi.org/10.1097/00000446-198908000-00017.

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38

&NA;, &NA;. "EQUIPMENT." AJN, American Journal of Nursing 89, no. 12 (December 1989): 1650. http://dx.doi.org/10.1097/00000446-198912000-00034.

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39

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 90, no. 1 (January 1990): 107. http://dx.doi.org/10.1097/00000446-199001000-00055.

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40

&NA;. "Equipment." AJN, American Journal of Nursing 90, no. 2 (February 1990): 98–101. http://dx.doi.org/10.1097/00000446-199002000-00044.

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41

&NA;. "Equipment." AJN, American Journal of Nursing 90, no. 3 (March 1990): 91–92. http://dx.doi.org/10.1097/00000446-199003000-00062.

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42

&NA;. "Equipment." AJN, American Journal of Nursing 90, no. 4 (April 1990): 82. http://dx.doi.org/10.1097/00000446-199004000-00035.

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43

&NA;. "Equipment." AJN, American Journal of Nursing 90, no. 5 (May 1990): 84. http://dx.doi.org/10.1097/00000446-199005000-00056.

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44

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 90, no. 7 (July 1990): 18H. http://dx.doi.org/10.1097/00000446-199007000-00019.

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45

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 90, no. 9 (September 1990): 64. http://dx.doi.org/10.1097/00000446-199009000-00027.

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46

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 90, no. 11 (November 1990): 44D. http://dx.doi.org/10.1097/00000446-199011000-00026.

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47

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 91, no. 2 (February 1991): 70. http://dx.doi.org/10.1097/00000446-199102000-00027.

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48

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 91, no. 3 (March 1991): 39. http://dx.doi.org/10.1097/00000446-199103000-00015.

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49

&NA;. "Equipment." AJN, American Journal of Nursing 91, no. 4 (April 1991): 86–88. http://dx.doi.org/10.1097/00000446-199104000-00028.

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50

&NA;, &NA;. "Equipment." AJN, American Journal of Nursing 91, no. 6 (June 1991): 28. http://dx.doi.org/10.1097/00000446-199106000-00015.

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