Results 181 to 190 of about 788,688 (243)

Cross-sensor domain adaptation multi-point monitoring network for mechanical fault diagnosis. [PDF]

PLoS One
Zhou Z, Lu J, Ren Y, Li S.
europepmc   +1 more source

Vibration-Based Diagnostics of Rolling Element Bearings Using the Independent Component Analysis (ICA) Method. [PDF]

Sensors (Basel)
Mika D, Józwik J, Ruggiero A.
europepmc   +1 more source

A Reproducible Benchmark-Validity Audit and Calibration Study for Cross-Home Fault Diagnosis in Smart-Home Sensor Systems. [PDF]

Sensors (Basel)
Saydirasulov NS, Buriboev AS, Isroilov S, Oh R, Buribayev S, Abduvaytov A, Umirov J, Badalov JI, Axmedova A, Lee C, Jeon HS.   +10 more
europepmc   +1 more source

ReqTestAgent: execution-grounded language-model agents for acceptance testing under requirement ambiguity. [PDF]

Front Artif Intell
Shi Y, Song R.
europepmc   +1 more source

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Fault Diagnostics of Rotating Machinery

2011 21st International Conference on Systems Engineering, 2011
This research extends the concept of [Lehrasab, 1999] to the domain of rotating machines. It aims at developing novel fault diagnostics techniques for the motor or rotating machines for diagnostics that is costeffective and easier to deploy from industrial perspective.
Z. Mahmood, N. S. Khattak
openaire   +2 more sources

An algorithm for diagnostic fault simulation

2010 11th Latin American Test Workshop, 2010
In diagnostic testing faults detectable by test vectors are partitioned into groups. This partitioning is such that a fault is distinguishable from faults in all other groups, but is indistinguishable from those in its own group. Diagnostic fault coverage (DC) is defined as the number of fault groups divided by the total number of faults.
Yu Zhang, Vishwani D. Agrawal
openaire   +2 more sources

Integrated fault diagnostics on the grid

Proceedings. Ninth IEEE International Conference on Engineering of Complex Computer Systems, 2004
Model-based methods are commonly used for fault diagnosis. Many model-based fault diagnosis approaches have been proposed so far. But for modern complex processes, due to the variable nature of faults and model uncertainty, no single approach can diagnose all faults and meet different contradictory criteria. In this paper, the importance of integration
Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming   +5 more
openaire   +1 more source