2017
DOI: 10.1088/1742-6596/842/1/012060
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A new state evaluation method of oil pump unit based on AHP and FCE

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Cited by 6 publications
(3 citation statements)
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“…Another approach is to use machine learning methods. For example, failure mode and effect analysis (FMEA) [12][13], neural network (NN) [14], support vector machine (SVM) [15][16], Gaussian mixed model (GMM) [17] and other fusion algorithms [18][19][20] are used for fault diagnosis. Machine learning methods require a large amount of data to train the model to get accurate results and therefore consume a lot of time; while direct analysis by spectrum only requires real-time data measurement and professional analysis to determine the cause of faults.…”
Section: Introductionmentioning
confidence: 99%
“…Another approach is to use machine learning methods. For example, failure mode and effect analysis (FMEA) [12][13], neural network (NN) [14], support vector machine (SVM) [15][16], Gaussian mixed model (GMM) [17] and other fusion algorithms [18][19][20] are used for fault diagnosis. Machine learning methods require a large amount of data to train the model to get accurate results and therefore consume a lot of time; while direct analysis by spectrum only requires real-time data measurement and professional analysis to determine the cause of faults.…”
Section: Introductionmentioning
confidence: 99%
“…Lin et al have studied a new visual fitting method, the essence of which is from point to surface. rough the combination of the GIS and groundwater model, the visualization function of the software is more powerful [2]. Zapolnova et al proposed a method to realize 3D discretization of geological body based on GIS.…”
Section: Introductionmentioning
confidence: 99%
“…Considering the complexity of the structure of the axial piston pump and the types of fault that could occur in it, as a kind of multiobjective analysis method, the AHP can satisfy the requirements of performance assessment and failure prediction for the pump. Yang et al proposed a multiparameter evaluation method for oil pump unit, which used Failure Mode and Effect Analysis to select the evaluation indexes, AHP to calculate the weights of the indexes, and fuzzy comprehensive evaluation to assess the state of the pump unit [1]. Lin et al proposed a failure prediction method for pump in aircraft based on fuzzy comprehensive evaluation and AHP [2].…”
Section: Introductionmentioning
confidence: 99%