Results 251 to 260 of about 17,558 (314)
Advanced Science, EarlyView.A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao +6 more
wiley +1 more source
An optimized ensemble framework for machinery fault detection in IoT environments. [PDF]
Sci RepDevi Gayadri SV +3 more
europepmc +1 more source
Joint processing technology of laser radar and optical image for power distribution. [PDF]
Sci RepLiu L, Chen Z, Huo Z, Feng H, Lv Y.
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A brain-inspired ISMO-PNN framework for neurally-grounded bearing fault diagnosis. [PDF]
Front NeurorobotZhang F, Zhang B.
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Marine diesel engine reliable intelligent fault diagnosis method based on the generalized multi-source information fusion. [PDF]
iScienceXie Z, Mo C, Jia B.
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Real-World Airborne Sound Analysis for Health Monitoring of Bearings in Railway Vehicles. [PDF]
Sensors (Basel)Kreuzer M +3 more
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Emergency Operation Scheme Generation for Urban Rail Transit Train Door Systems Using Retrieval-Augmented Large Language Models. [PDF]
Sensors (Basel)Huang L, Liu Z, Yu C, Zhu T, Yan B.
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Reliability Engineering and System Safety, 2002
Abstract The fault tree analysis is a widely used method for evaluation of systems reliability and nuclear power plants safety. This paper presents a new method, which represents extension of the classic fault tree with the time requirements. The dynamic fault tree offers a range of risk informed applications.
Marko Cepin
exaly +2 more sources
Abstract The fault tree analysis is a widely used method for evaluation of systems reliability and nuclear power plants safety. This paper presents a new method, which represents extension of the classic fault tree with the time requirements. The dynamic fault tree offers a range of risk informed applications.
Marko Cepin
exaly +2 more sources
Diagnosis of Faults in Modular Trees
IEEE Transactions on Computers, 1979Diagnosis of stuck-at faults (s-a-f's) in modular trees is studied. Detection conditions for each distinguishable s-a-f in a module are derived. For single s-a-f's, the detection conditions are easily partitioned to achieve fault location by performing a small number of additional tests. A multiple s-a-f that produces the same test result as a single s-
F. Gail Gray +2 more
openaire +1 more source
Classification of fault trees and algorithms of fault tree analysis
Microelectronics Reliability, 1990Abstract A new classification of fault trees is proposed, and the relationship between the new and old classifications is discussed. The new classification is illustrated with an example, and the limitation of the well-known simple prime implicant algorithm, which can work on fault trees, is shown.
Yan Chunning, Shi Dinghua
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