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Journal articles on the topic 'Control reliability'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Turner, Timothy E. "Wafer level reliability: Process control for reliability." Microelectronics Reliability 36, no. 11-12 (November 1996): 1839–46. http://dx.doi.org/10.1016/0026-2714(96)00211-9.

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2

Eva Wu, N., and Ron J. Patton. "Reliability and supervisory control." IFAC Proceedings Volumes 36, no. 5 (June 2003): 137–42. http://dx.doi.org/10.1016/s1474-6670(17)36483-2.

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3

Ziegel, Eric. "Reliability and Quality Control." Technometrics 30, no. 4 (November 1988): 455. http://dx.doi.org/10.1080/00401706.1988.10488445.

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4

Singh, Ashok K. "Quality Control and Reliability." Technometrics 32, no. 3 (August 1990): 344. http://dx.doi.org/10.1080/00401706.1990.10484692.

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5

Sherrod, Brad, and Andrea McQuaigue. "Building infection control reliability." Nursing Critical Care 8, no. 4 (July 2013): 37–39. http://dx.doi.org/10.1097/01.ccn.0000429386.10473.a4.

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6

Veevers, A., P. R. Krishnaiah, and C. R. Rao. "Quality Control and Reliability." Journal of the Royal Statistical Society. Series A (Statistics in Society) 152, no. 3 (1989): 423. http://dx.doi.org/10.2307/2983141.

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7

Stuart, Michael, and A. P. Basu. "Reliability and Quality Control." Statistician 36, no. 4 (1987): 424. http://dx.doi.org/10.2307/2348855.

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8

Distefano, Salvatore. "Reliability Assessment of Control Systems." Key Engineering Materials 467-469 (February 2011): 174–80. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.174.

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Actually modern systems have to ensure higher and higher operating standards, thus including monitoring and control subsystems for their achievement. In safety critical systems control is a crucial task in order to satisfy strict reliability requirements. But it is also necessary that the control system is itself reliable. As a consequence, adequate techniques are necessary in order to perform reliability evaluation of both the controlled and the control systems. Techniques that therefore should avoid over-simplistic assumptions and/or approximations that, for example, are usually introduced when dependencies, interferences and other dynamic reliability aspects are not taken into the right consideration. In this paper, a technique for carefully evaluating the reliability of such systems, also considering dynamic aspects and behaviors, is proposed. Firstly the technique is detailed through the specification of the dynamic reliability block diagrams notation, and therefore in order to demonstrate its effectiveness, it is applied to an example of a computing-based control system taken from literature, thus providing guidelines for the reliability representation and evaluation through DRBD.

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9

Shpiganovich, A., V. Zatsepina, A. Shpiganovich, and V. Stepanov. "Power-Supply Systems Reliability Control." EAI Endorsed Transactions on Energy Web 5, no. 19 (July 10, 2018): 155083. http://dx.doi.org/10.4108/eai.10-7-2018.155083.

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10

Udrişte, Constantin, Ionel Ţevy, and Saad Abbas Abed. "OPTIMAL CONTROL ON RELIABILITY PROBLEMS." Far East Journal of Dynamical Systems 29, no. 2-3 (January 25, 2018): 97–115. http://dx.doi.org/10.17654/ds029230097.

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11

ENDOH, Masanori, Masahiro KUROSAKI, and Minoru ARAHATA. "Reliability of electronic engine control." Journal of the Japan Society for Aeronautical and Space Sciences 34, no. 388 (1986): 256–61. http://dx.doi.org/10.2322/jjsass1969.34.256.

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12

Carpenter, Geoff. "Reliability in Instrumentation and Control." Microprocessors and Microsystems 18, no. 6 (January 1994): 363. http://dx.doi.org/10.1016/0141-9331(94)90051-5.

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13

Brillet, Jean-Louis, and Jean-Paul Laurent. "The reliability of control experiments." Journal of Economic Dynamics and Control 12, no. 1 (March 1988): 173–79. http://dx.doi.org/10.1016/0165-1889(88)90031-0.

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14

Cai, Kai-Yuan. "Software Reliability Experimentation and Control." Journal of Computer Science and Technology 21, no. 5 (September 2006): 697–707. http://dx.doi.org/10.1007/s11390-006-0697-1.

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15

Ferrari, Paolo. "The control of motorway reliability." Transportation Research Part A: General 25, no. 6 (November 1991): 419–27. http://dx.doi.org/10.1016/0191-2607(91)90019-m.

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16

Garrett, C. J. "Reliability in instrumentation and control." Reliability Engineering & System Safety 41, no. 3 (January 1993): 282–83. http://dx.doi.org/10.1016/0951-8320(93)90081-9.

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17

Lees, F. P. "Reliability in instrumentation and control." Journal of Process Control 3, no. 2 (May 1993): 135. http://dx.doi.org/10.1016/0959-1524(93)80009-z.

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18

Tapiero, Charles S., Peter H. Ritchken, and Arnold Reisman. "Reliability, pricing and quality control." European Journal of Operational Research 31, no. 1 (July 1987): 37–45. http://dx.doi.org/10.1016/0377-2217(87)90134-2.

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19

Shooman, M. L. "Reliability of Process Control Software." IFAC Proceedings Volumes 19, no. 4 (May 1986): 21–31. http://dx.doi.org/10.1016/b978-0-08-034063-0.50007-1.

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20

Medanić, J. V., and W. R. Perkins. "Control Systems Possessing Reliability to Control Channel Outages." IFAC Proceedings Volumes 26, no. 2 (July 1993): 9–12. http://dx.doi.org/10.1016/s1474-6670(17)49062-8.

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21

Lee, Byung-Heon, Tae-Ha Son, and Jong-Ho Park. "P-43 A reliability study of 500 MW turbine control hydraulic pumps." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _P—43–1_—_P—43–6_. http://dx.doi.org/10.1299/jsmeatem.2007.6._p-43-1_.

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22

SAKAMOTO, Yuichi. "Control of vacuum and its reliability." SHINKU 30, no. 12 (1987): 974–76. http://dx.doi.org/10.3131/jvsj.30.974.

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23

Battaini, M., F. Casciati, and L. Faravelli. "Some reliability aspects in structural control." Probabilistic Engineering Mechanics 15, no. 1 (January 2000): 101–7. http://dx.doi.org/10.1016/s0266-8920(99)00013-2.

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24

Gallimard, Laurent. "Error control in FORM reliability analysis." European Journal of Computational Mechanics 21, no. 3-6 (September 3, 2012): 231–41. http://dx.doi.org/10.1080/17797179.2012.714850.

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25

Addabbo, Tommaso, Ada Fort, Marco Mugnaini, and Valerio Vignoli. "Distributed UPS control systems reliability analysis." Measurement 110 (November 2017): 275–83. http://dx.doi.org/10.1016/j.measurement.2017.06.021.

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26

Vanderhaegen, F., and P. Millot. "Cooperative Redundancy to Control Human Reliability." IFAC Proceedings Volumes 34, no. 17 (September 2001): 195–200. http://dx.doi.org/10.1016/s1474-6670(17)33279-2.

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27

Berg, Menachem. "Reliability control for mission-critical items." Naval Research Logistics 34, no. 3 (June 1987): 417–29. http://dx.doi.org/10.1002/1520-6750(198706)34:3<417::aid-nav3220340308>3.0.co;2-s.

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28

Castro Ferreira, L. R., P. A. Crossley, J. Goody, and R. N. Allan. "Reliability evaluation of substation control systems." IEE Proceedings - Generation, Transmission and Distribution 146, no. 6 (1999): 626. http://dx.doi.org/10.1049/ip-gtd:19990851.

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29

Parry, G. W. "Human reliability analysis—context and control." Reliability Engineering & System Safety 53, no. 1 (July 1996): 99–101. http://dx.doi.org/10.1016/0951-8320(96)00023-3.

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30

Sander, P. C. "Quality control, reliability, and engineering design." European Journal of Operational Research 23, no. 2 (February 1986): 271. http://dx.doi.org/10.1016/0377-2217(86)90251-1.

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31

Ehrenberger, W. "Reliability of computers and control systems." Automatica 25, no. 2 (March 1989): 321. http://dx.doi.org/10.1016/0005-1098(89)90089-7.

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32

Popescu, I., and I. Văduva. "An optimum plan of reliability control." Computing 44, no. 2 (June 1990): 159–68. http://dx.doi.org/10.1007/bf02241865.

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33

Liang, E., and A. A. Husseiny. "Structural reliability of adaptive control systems." Annals of Nuclear Energy 16, no. 3 (January 1989): 129–37. http://dx.doi.org/10.1016/0306-4549(89)90111-4.

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34

G.W.A.D. "Quality control, reliability, and engineering design." Microelectronics Reliability 26, no. 3 (January 1986): 572. http://dx.doi.org/10.1016/0026-2714(86)90509-3.

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35

Prasad, Dr R. Satya, S. Murali Mohan, and G. Krishna Mohan. "Exponential two step approach for Time Domain based Software Process Control." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 8, no. 2 (June 20, 2013): 777–86. http://dx.doi.org/10.24297/ijct.v8i2.3385.

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Software Reliability Growth Model is a mathematical model of how the software reliability improves as faults are detected and repaired. In this paper we propose a control mechanism based on the cumulative quantity between observations of time domain failure data using mean value function of Goel-Okumoto model, which is based on Non Homogenous Poisson Process. The model parameters are estimated by a two step approach. Software reliability process can be monitored efficiently by using Statistical Process Control. Control charts are widely used for process monitoring. It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability.Â

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36

Ran, Yan, Genbao Zhang, and Jihong Pang. "Research on assembly reliability control technology for computer numerical control machine tools." Advances in Mechanical Engineering 9, no. 1 (January 2017): 168781401668522. http://dx.doi.org/10.1177/1687814016685225.

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Nowadays, although more and more companies focus on improving the quality of computer numerical control machine tools, its reliability control still remains as an unsolved problem. Since assembly reliability control is very important in product reliability assurance in China, a new key assembly processes extraction method based on the integration of quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory for computer numerical control machine tools is proposed. Firstly, assembly faults and assembly reliability control flow of computer numerical control machine tools are studied. Secondly, quality function deployment; failure mode, effects, and criticality analysis; and fuzzy theory are integrated to build a scientific extraction model, by which the key assembly processes meeting both customer functional demands and failure data distribution can be extracted, also an example is given to illustrate the correctness and effectiveness of the method. Finally, the assembly reliability monitoring system is established based on key assembly processes to realize and simplify this method.

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37

Spüntrup, F. Schulze, J. G. Londoño, C. Skourup, N. F. Thornhill, and L. Imsland. "Reliability improvement of compressors based on asset fleet reliability data." IFAC-PapersOnLine 51, no. 8 (2018): 217–24. http://dx.doi.org/10.1016/j.ifacol.2018.06.380.

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38

Green, Annabel. "Sand-Control Reliability: Finding the Sweet Spot." Journal of Petroleum Technology 62, no. 10 (October 1, 2010): 20–21. http://dx.doi.org/10.2118/1010-0020-jpt.

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39

Li, Hongbin, Qing Zhao, and Zhenyu Yang. "Reliability Monitoring of Fault Tolerant Control Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 6920–25. http://dx.doi.org/10.3182/20080706-5-kr-1001.01173.

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40

Crespo, Luis G., and Sean P. Kenny. "Reliability-Based Control Design for Uncertain Systems." Journal of Guidance, Control, and Dynamics 28, no. 4 (July 2005): 649–58. http://dx.doi.org/10.2514/1.9127.

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41

Bortolin, Roger, Brian Gilbert, Jeffrey M. Gervais, and James Hrycay. "Chrysler Airbag Control Module (ACM) Data Reliability." SAE International Journal of Passenger Cars - Mechanical Systems 3, no. 1 (April 12, 2010): 653–74. http://dx.doi.org/10.4271/2010-01-1002.

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42

Parvathi, P., and P. Anitha. "Fuzzy Quality Control with Reliability and Flexibility." International Journal of Computer Applications 76, no. 6 (August 23, 2013): 7–11. http://dx.doi.org/10.5120/13249-0714.

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43

Takeshita, Keisuke. "Reliability of Main Engine Remote Control System." JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN 27, no. 6 (1992): 453–58. http://dx.doi.org/10.5988/jime1966.27.453.

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44

LI, Hongbin, Qing Zhao, and Zhenyu Yang. "Reliability Modeling of Fault Tolerant Control Systems." International Journal of Applied Mathematics and Computer Science 17, no. 4 (December 1, 2007): 491–504. http://dx.doi.org/10.2478/v10006-007-0041-0.

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Reliability Modeling of Fault Tolerant Control SystemsThis paper proposes a novel approach to reliability evaluation for active Fault Tolerant Control Systems (FTCSs). By introducing a reliability index based on the control performance and hard deadline, a semi-Markov process model is proposed to describe system operation for reliability evaluation. The degraded performance of FTCSs in the presence of imperfect Fault Detection and Isolation (FDI) is reflected by semi-Markov states. The semi-Markov kernel, the key parameter of the process, is determined by four probabilistic parameters based on the Markovian model of FTCSs. Computed from the transition probabilities of the semi-Markov process, the reliability index incorporates control objectives, hard deadline, and the effects of imperfect FDI, a suitable quantitative measure of the overall performance.

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45

Nowak, Edward, and Waldemar Odziemczyk. "Control network reliability reconstruction for Zatonie dam." Reports on Geodesy and Geoinformatics 105, no. 1 (June 1, 2018): 1–5. http://dx.doi.org/10.2478/rgg-2018-0001.

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Abstract Absolute horizontal displacements are an important element of dam safety level assessment. Appropriate design of measurement network is a prerequisite for the acquisition of displacement values that meet the reliability requirements. A network of this kind, apart from ensuring the required precision of displacement determination, should be characterised by reliability allowing for elimination of gross errors in the results of geodetic surveys. This study aims to propose a method to improve reliability characteristic of surveying network used for horizontal displacement identification in Zatonie dam. The desired effect (increase in the network’s reliability) is obtained by the authors in two stages. The first stage concerns expansion of the existing network by addition of three free stations. As the obtained effect did not prove to be satisfactory, in the second stage so called observation accuracy harmonisation was carried out, which optimally utilises the reliability potential of the measurement construction. In order to successfully carry out the harmonisation, a modification to the procedure’s algorithm had to be introduced. A design of a network ensuring detection of a gross error in any given observation was obtained as the result of the performed actions.

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46

Spencer, B. F., M. K. Sain, C. H. Won, D. C. Kaspari, and P. M. Sain. "Reliability-based measures of structural control robustness." Structural Safety 15, no. 1-2 (August 1994): 111–29. http://dx.doi.org/10.1016/0167-4730(94)90055-8.

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47

Katsuki, Satoshi, and Dan M. Frangopol. "Reliability analysis of sediment control steel dams." Structural Safety 15, no. 1-2 (August 1994): 131–48. http://dx.doi.org/10.1016/0167-4730(94)90056-6.

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48

Salazar, Jean C., Philippe Weber, Fatiha Nejjari, Ramon Sarrate, and Didier Theilliol. "System reliability aware Model Predictive Control framework." Reliability Engineering & System Safety 167 (November 2017): 663–72. http://dx.doi.org/10.1016/j.ress.2017.04.012.

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49

Miyata, Yoshihisa, and Toshiro Hata. "Reliability-based remediation control for contaminated groundwater." Japanese Geotechnical Society Special Publication 2, no. 71 (2016): 2445–50. http://dx.doi.org/10.3208/jgssp.jpn-040.

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50

Leśkiewicz, H. J. "Three Reliability Factors in Automatic Control Systems." IFAC Proceedings Volumes 23, no. 8 (August 1990): 75–76. http://dx.doi.org/10.1016/s1474-6670(17)52071-6.

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