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Subway door fault prediction employing stacking ensemble learning. [PDF]

Sci Rep
Song H, Tang S, Xia J, Zhang L, Kang H, Li P.   +5 more
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Semantic-aware fault diagnosis of heavy-duty railway maintenance machinery and its potential in multisensor fusion systems. [PDF]

Sci Rep
Zhang Y, Gao C, Wang R, Liang H, He G, Liu C, Liu S, He Z, Zhang J.   +8 more
europepmc   +1 more source

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Fault Classification Oriented Spectrum Based Fault Localization

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017
The commonly-used software fault localization approaches mainly utilize test coverage information and test cases execution results to calculate the suspiciousness of each program entity to identify the location of faults, namely spectrum based software fault localization (SBFL).
Xiujing Liu, Yong Liu, Zheng Li, Ruilian Zhao   +3 more
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Fault classification using SVM

2015 IEEE International Circuits and Systems Symposium (ICSyS), 2015
Analog circuits are abundantly used in today's world. Unexpected failures might result in grave repercussions which is why their fault diagnosis is of utmost importance. We put forward an innovative fault classifier technique using Support Vector Machines (SVM) to identify whether the circuit is functioning properly and to identify the fault.
Mani Swetha Mandava, Devika Jadhav, Roshan Ramakrishna Naik   +2 more
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Hierarchical Classification for Unknown Faults

2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020
Data-driven prognostics and health management (PHM) models are generally trained on a set of data collected from the system under study. A standard assumption of this paradigm is that the training data contains all the normal operating conditions and fault conditions that are possible.
Stephen Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt   +4 more
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Fault classification using genetic programming

Mechanical Systems and Signal Processing, 2007
Genetic programming (GP) is a stochastic process for automatically generating computer programs. In this paper, three GP-based approaches for solving multi-class classification problems in roller bearing fault detection are proposed. Single-GP maps all the classes onto the one-dimensional GP output.
Liang Zhang, Asoke K. Nandi
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Path Delay Fault Classification

1998
This chapter is devoted to a discussion on the classification of the path delay faults. Paths are classified according to their testability characteristics. A given path delay fault can be tested by many different tests. Unlike a stuck-at fault for which all tests have the same quality (fault is certainly detected by the test), in path delay fault ...
Krstic, Angela, Cheng, Tim Kwang-Ting
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Classification of induction machine faults

2010 7th International Multi- Conference on Systems, Signals and Devices, 2010
This paper presents the theoretical foundation of a method for classifying current waveform events that are related to a variety of induction machine faults. The method is composed of three sequential processes: feature extraction, feature selection and classification.
Tahar Boukra, Abdessalam Lebaroud
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Classification of Faults

AAPG Bulletin, 1943
A classification of faults based on the type of mechanical failure involved is proposed. The types recognized are: (1) normal diagonal shears, (2) reverse diagonal shears, (3) horizontal faults, (4) tension faults, (5) lateral shears, and (6) vertical shears.
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