Spectrum-based Fault Localisation analysis results
Mutation-based evolutionary fault localisation
... reducing results by chance using: baseline methods and evaluation measures used in prior studies; multiple executions to reduce the algo- rithm’s stochastic-nature; and existing open source frameworks that have ...
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Spectrum-Based Fault Localization in Model Transformations
... Experimental results re- veal that the best techniques place the faulty transformation rule among the three most suspicious rules in around 74% of the ...the fault by inspecting only ...approach ...
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A Novel Fault Detection and Fault Location Method for VSC-HVDC Links Based on Gap Frequency Spectrum Analysis
... The fault current also decreases as the fault resistance increases as shown in ...(b).The fault current is attenuated due to the response of the converter station control ...Signal Analysis ...
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Fault localisation for WS BPEL programs based on predicate switching and program slicing
... the localisation and removal of these ...a fault localisation technique for WS-BPEL programs based on predicate switching and program slicing, allowing developers to more precisely locate the ...
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Spectrum-based Fault Localization Techniques Application on Multiple-Fault Programs: A Review
... existing fault localization formulae by using both artificial faults and real ...a fault localization technique used in programs with artificial faults is insignificant as compared to the same experiment on ...
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Fault diagnosis of rotating machinery based on time-frequency decomposition and envelope spectrum analysis
... race fault, a ball fault and an outer race fault, ...race fault can be easily observed from ...ball fault and the outer race fault can also be observed in ...
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Spectrum Based and Program Slicing Statistical Fault Localization
... histogram analysis. Most of the SIFL fault localization effect is much better than the previous localization ...SIFL fault localization effect compared to the previous accuracy is a slight ...SIFL ...
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Simulink Fault Localisation: an Iterative Statistical Debugging Approach
... data-flow based and hierarchical, have multiple observable outputs at different hierarchy levels, each of which can be tested and evaluated ...one spectrum per each output and each test ...for fault ...
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A Survey on Generation of Automatic Test Packet for Fault Localisation
... VII. C ONCLUSION Today’s systems require an abundant human interaction to keep them working. As systems get complex there is colossal enthusiasm for robotizing the control, error reporting, investigating and trouble ...
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Vibration Based Gear Fault Diagnosis under Empirical Mode Decomposition and Power Spectrum Density Analysis
... The results depict better fault diagnostic information in spur gears transference system by utilizing the suggested methods, there- by enhancing the condition monitoring potential- ity of the designed ...
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Fault Detection and Diagnosis of Induction Motors Based on Higher-Order Spectrum
... Motors Based on Higher-Order Spectrum Juggrapong Treetrong Abstract— The number of research studies have shown that the fault in the stator or rotor generally show sideband frequencies around the ...
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Fault severity assessment of rolling element bearings based on bicoherence spectrum
... the fault severity increases, which indicates that the deepening fault severity results in more frequency pairs involving in ...the fault cases, which can be used to separate the normal from ...
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A novel scheme on multi-channel mechanical fault signal diagnosis based on augmented quaternion singular spectrum analysis
... achieve fault diagnosis and ...bearing fault data are used to analyze [27]. The results of fault classification demonstrate that the method proposed in this paper has a better effect in ...
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A noise-resistant Wigner-Vile spectrum analysis method based on cyclostationarity and its application in fault diagnosis of rotating
... in fault diagnosis of gear [6], and it was verified that not only the single fault arising in gearbox could be identified, but also the compound gear defects could be diagnosed successfully by the combined ...
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A novel approach to damage localisation based on bispectral analysis and neural network
... Regarding to the number of hidden layer implemented, the default option was to have one. In fact, according to the universal approximation theorem (Hornik, Stinchcombe, & White, 1989), an Artificial NN with a single ...
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Gear Fault Diagnosis Based on Narrowband Demodulation with Frequency Shift and Spectrum Edit
... demodulation analysis is a novel vibration based gear localized faults diagnosis ...the results from the scheme can be heavily distorted when it is applied to a non-stationary signal, which has ...
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Fault detection in structures (wind turbine) through statistical techniques, singular spectrum analysis (SSA) and frequency-based methods
... The areas of application of SSA are very different, from the economy through geology to reach mathematics or physical applications to name a few of the fields, where we can say that this method works in a better way as a ...
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Machine Learning Based Analysis of Cellular Spectrum
... the spectrum occupancy of different static allocated licensed bands for ...about spectrum utilization, future spectrum allocation and comfort to serve more users in the limited ...future ...
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Bearing fault diagnosis method based on Hilbert envelope spectrum and deep belief network
... When fault occurs in bearing, the frequency spectrum of vibration signal would change and it contains a considerable amount of fault information which can reflect the actual work condition and the ...
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A Wavelet Spectrum Technique for Machinery Fault Diagnosis
... Wavelet Spectrum (WS) Technique Whenever a fault occurs on a bearing component, impa- cts are generated in operation, which in turn excite the bearing and its support ...the analysis of these reso- ...
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