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Entropy-based test generation for improved fault localization
2013
2013 28th IEEE/ACM International Conference on Automated Software Engineering (ASE)
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Our ENTBUG prototype extends the search-based test generation tool EVOSUITE to use entropy in the fitness function of its underlying genetic algorithm, and we applied it to seven real faults. ...
Spectrum-based Bayesian reasoning can effectively rank candidate fault locations based on passing/failing test cases, but the diagnostic quality highly depends on the size and diversity of the underlying ...
-020484, and by a Google Focused Research Award on "Test Amplification". ...
doi:10.1109/ase.2013.6693085
dblp:conf/kbse/CamposAFd13
fatcat:6ofypfsuhze7dnbfdy4vgwnhgm
Model-Based Test Suite Generation Using Mutation Analysis for Fault Localization
2019
Applied Sciences
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We provide useful guidelines for application of a search-based mutational method to a state chart; we show that the proposed method improves fault-localization performance in the test-suite generation ...
This paper proposes a test-case generation method using a state chart to reduce the number of test suites required for fault localization, minimizing the test-case generation and execution times. ...
In this study, we propose a test-suite generation technique for fault localization at the test-generation stage, which is intended to improve the effectiveness of fault localization. ...
doi:10.3390/app9173492
fatcat:v2rj6y2ervb2xa65khxyj7qkv4
IETCR: An Information Entropy Based Test Case Reduction Strategy for Mutation-Based Fault Localization
2020
IEEE Access
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INDEX TERMS Software fault localization, mutation based fault localization, information entropy, test case reduction. ...
In this paper, we mainly focus on the latter way and propose an information entropy based test case reduction (IETCR) strategy for MBFL. ...
CONCLUSIONS AND FUTURE WORK In this paper, we present a novel information entropy based test case reduction (IETCR) strategy for mutation-based fault localization. ...
doi:10.1109/access.2020.3004145
fatcat:l6rcgi4udjhhronz7yo4crzy6i
An Integrated Approach Based on Improved CEEMDAN and LSTM Deep Learning Neural Network for Fault Diagnosis of Reciprocating Pump
2021
IEEE Access
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Aiming at the fault diagnosis method for key parts of reciprocating pump, a fault feature extraction method based on Improved CEEMDAN, singular spectral entropy and LSTM deep neural network algorithm is ...
IV SPECTRUM ENTROPY VALUE OF 4 FAILURE MODES points, and the 500 sets of data for each category were divided into two categories, 400 of which were used for training and 100 for testing. ...
doi:10.1109/access.2021.3056437
fatcat:4kkfs5kxubgnvhrrubopw35jcm
A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings
2017
Entropy
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Finally, a new fault diagnosis method for rolling bearing was proposed based on RCMMFE for fault feature extraction, Laplacian score and particle swarm optimization support vector machine (PSO-SVM) for ...
In this paper multiscale entropy in multivariate framework, i.e., multivariate multiscale entropy (MMSE) is introduced to machinery fault diagnosis to improve the efficiency of fault identification as ...
.,
RCMMFE, LS and PSO-SVM Based Fault Diagnosis for Rolling Bearing
Laplacian Score for Feature Selection Generally, the obtained high dimension RCMMFE values are not all really related with fault ...
doi:10.3390/e19110585
fatcat:urfa65hpyjeo3dg7o33pzjd23a
A Test-Suite Diagnosability Metric for Spectrum-Based Fault Localization Approaches
2017
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
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exercise these components and whether they provide enough information so that spectrum-based fault localization techniques can perform accurate fault isolation. ...
Our experiments show that optimizing a test suite with respect to DDU yields a 34% gain in spectrum-based fault localization report accuracy when compared to the standard branch-coverage metric. ...
., that proposed a test for diagnosis criterion that attempts to reduce the size of dynamic basic blocks to improve fault localization accuracy [9] . ...
doi:10.1109/icse.2017.66
dblp:conf/icse/PerezAD17
fatcat:x4h2nquro5bj7njewkn7dz4gbm
Bearing Fault Diagnosis Method Based on RCMFDE-SPLR and Ocean Predator Algorithm Optimizing Support Vector Machine
2022
Entropy
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multiscale fluctuation-based dispersion entropy (RCMFDE) combined with self-paced learning and low-redundant regularization (SPLR) is proposed, for which the fault diagnosis is carried out by support ...
improves the stability and estimation accuracy of the bearing characteristics; then, a novel dimensionality-reduction method, SPLR, is used to select better entropy characteristics, and the local flow ...
Acknowledgments: The author sincerely thanks the team for their guidance, and thanks the Case West Reserve University for their bearing datasets. ...
doi:10.3390/e24111696
pmid:36421551
pmcid:PMC9688966
fatcat:q2ljwerw6nft7phtkmffl27bfu
Fault Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and LLTSA
2018
International Journal of Online Engineering (iJOE)
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features is difficult to extract, a new feature extraction method was proposed .This approach combines wavelet packet analysis techniques, fuzzy entropy and LLTSA (liner local tangent space alignment) ...
Firstly, the vibration signals were decomposed into eight signals in different <a href="app:ds:scale" target="_self">scale</a>s, then the fuzzy entropies of signals were calculated to constitute eight ...
Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and …
Paper-Fault Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and …
iJOE -Vol. 14 ...
doi:10.3991/ijoe.v14i02.7845
fatcat:kdjoewumsfhgzj4mh2lk5fyhsq
An intelligent fault diagnosis for rolling bearing based on adversarial semi-supervised method
2020
IEEE Access
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To alleviate this issue, a deep adversarial semisupervised (DASS) method based on the prototype learning network is proposed for rolling bearing fault diagnosis in this study. ...
Third, the cross entropy and the adversarial entropy are introduced to improve diagnostic accuracy and reduce intra-class variation. ...
Gao [20] used the generative adversarial network-based data augmentation techniques to generate data samples. ...
doi:10.1109/access.2020.3016314
fatcat:mxqtqlab3bgkxceqhbjpnh76cu
Research on Novel Bearing Fault Diagnosis Method Based on Improved Krill Herd Algorithm and Kernel Extreme Learning Machine
2019
Complexity
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The opposite populations are added to the NKH in the initialization of population to improve its speed and prevent local optimum, and during the period of looking for the optimal solution, the impulse ...
Firstly, multiscale dispersion entropy (MDE) is used to extract fault features of bearings to obtain a set of fault feature vectors composed of dispersion entropy. ...
(PCC) [11] , the method based on signal processing having modi ed variable modal decomposition (MVMD) [12] , improved ensemble local mean decomposition (IELMD) [13] , maximum kurtosis spectral entropy ...
doi:10.1155/2019/4031795
fatcat:33f2uc2swncixh5rfgpj4r7ub4
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
2019
Journal of Systems Engineering and Electronics
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In each of these four parts, a review is given to applications applying the LMD, improved LMD, and LMD-based combination methods, respectively. ...
Many signal processing methods have been developed for fault diagnosis of the rotating machinery. ...
Repeatability tests and tests on multiple machines are required for these methods to be used in real applications. (iii) The efficiency should be further improved. ...
doi:10.21629/jsee.2019.04.17
fatcat:3a3ovet3c5gt5owmdbfbkief74
Gear compound fault detection method based on improved multiscale permutation entropy and local mean decomposition
2021
Journal of Vibroengineering
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To solve this problem, this paper proposes an improved multiscale permutation entropy (IMSPE). ...
Finally, the proposed method based on LMD and IMSPE is applied into gear fault diagnosis system. ...
The proposed IMSPE is improved from two aspects based on the MPE: the process of coarsening and the definition of entropy. ...
doi:10.21595/jve.2021.21896
fatcat:7b5pqy3jrfaxjk2szvv34micgy
Fault diagnosis using an improved fusion feature based on manifold learning for wind turbine transmission system
2019
Journal of Vibroengineering
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In this paper, a novel fault diagnosis method based on vibration signal analysis is proposed for fault diagnosis of bearings and gears. ...
The performance of the proposed technique is tested on the fault of wind turbine transmission system. ...
8 10 12 14 Thirdly, local and
FAULT DIAGNOSIS USING AN IMPROVED FUSION FEATURE BASED ON MANIFOLD LEARNING FOR WIND TURBINE TRANSMISSION SYSTEM. ...
doi:10.21595/jve.2019.20132
fatcat:ikpdmrogtjat7l24m5zpjwmdk4
Bearing Fault Diagnosis with Kernel Sparse Representation Classification Based on Adaptive Local Iterative Filtering-Enhanced Multiscale Entropy Features
2019
Mathematical Problems in Engineering
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To improve the bearings diagnosis accuracy considering multiple fault types with small samples, a new approach that combined adaptive local iterative filtering (ALIF), multiscale entropy features, and ...
Experimental results have proved that the proposed approach is efficient for bearing fault diagnosis, and high accuracy will be obtained with high dimensional features through small samples. ...
The authors would like to thank the editors and the anonymous reviewers for their valuable suggestions which have greatly improved the paper. ...
doi:10.1155/2019/7905674
fatcat:plqxrpwninebpf6p2goyhmqg2i
Research on Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition Improved by the Niche Genetic Algorithm
2022
Entropy
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parameters composed of α and K so as to minimize the local minimum entropy. ...
It can highlight the local characteristics of the original sample data and reduce the interference of the parameters selected artificially in the VMD algorithm on the processing results, improving the ...
The test bench for the bearing fault experiment.
Figure 6 . 6 Figure 6. The test bench for the bearing fault experiment.
Figure 7 .Figure 7 . 77 Figure 7. ...
doi:10.3390/e24060825
pmid:35741545
pmcid:PMC9223188
fatcat:hr42le65bzhf3f35cxaboiuwvq
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