Results 211 to 220 of about 16,975 (265)
Bearing fault detection with lightweight feature extraction mechanism based on smoothed dilated convolution. [PDF]
Pang Y, Li X.
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A PI-Dual-STGCN Fault Diagnosis Model Based on the SHAP-LLM Joint Explanation Framework. [PDF]
Zhao Z, Ye S, Qi L, Ni H, Fei S, Tong Z.
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Enhancing fault detection in new energy vehicles via novel ensemble approach. [PDF]
Akhtar I +7 more
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Probabilistic fault prediction of incipient fault
2010 Chinese Control and Decision Conference, 2010In this work, a probabilistic fault prediction approach is presented for prediction of incipient fault in an uncertain way. The approach has two stages. In the first stage, normal data is analyzed by principle component analysis (PCA) to get control limits of the statistics of T2 and SPE.
Zhen Zhao +3 more
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Fault-tolerant model predictive control with active fault isolation
2013 Conference on Control and Fault-Tolerant Systems (SysTol), 2013A robust control method is presented for linear systems subject to input and state constraints, bounded disturbances and measurement noise, and discrete faults in sensors, actuators, and system dynamics. The approach uses set-based fault detection and isolation techniques to coordinate switching between controllers designed for each fault scenario.
RAIMONDO, DAVIDE MARTINO +3 more
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Software fault prediction tool
Proceedings of the 19th international symposium on Software testing and analysis, 2010We have developed an interactive tool that predicts fault likelihood for the individual files of successive releases of large, long-lived, multi-developer software systems. Predictions are the result of a two-stage process: first, the extraction of current and historical properties of the system, and second, application of a negative binomial ...
Thomas J. Ostrand, Elaine J. Weyuker
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Programmer-based fault prediction
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010Background: Previous research has provided evidence that a combination of static code metrics and software history metrics can be used to predict with surprising success which files in the next release of a large system will have the largest numbers of defects.
Thomas J. Ostrand +2 more
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Predicting fault detection effectiveness
Proceedings Fourth International Software Metrics Symposium, 2002Regression methods are used to model software fault detection effectiveness in terms of several product and testing process measures. The relative importance of these product/process measures for predicting fault detection effectiveness is assessed for a specific data set.
J.A. Morgan, G.J. Knafl, W.E. Wong
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Journal of Systems and Software, 1995
Abstract Cost-effective and timely software development methods are essential today as software costs and backlogs escalate while applications are developed in rapidly changing environments. Focusing testing efforts on those portions of the code with the largest number of faults can reduce development costs and time, but requires prediction of the ...
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Abstract Cost-effective and timely software development methods are essential today as software costs and backlogs escalate while applications are developed in rapidly changing environments. Focusing testing efforts on those portions of the code with the largest number of faults can reduce development costs and time, but requires prediction of the ...
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INCREMENTAL DEVELOPMENT OF FAULT PREDICTION MODELS
International Journal of Software Engineering and Knowledge Engineering, 2013The identification of fault-prone modules has a significant impact on software quality assurance. In addition to prediction accuracy, one of the most important goals is to detect fault prone modules as early as possible in the development lifecycle. Requirements, design, and code metrics have been successfully used for predicting fault-prone modules ...
Jiang, J. Y +3 more
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