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Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers

机译：液压机械传感器和组件故障检测与诊断LSTM AutoEncoder检测器和诊断分类器

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Ahlam Mallak; Madjid Fathi;
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2. Intelligent fault diagnosis and prognosis approach for rotating machinery integrating wavelet transform, principal component analysis, and artificial neural networks [J] . Zhenyou Zhang, Yi Wang, Kesheng Wang The International Journal of Advanced Manufacturing Technology . 2013,第1a4期

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5. Analysis of rolling element bearing faults in rotating machinery: Experiments, modeling, fault detection and diagnosis. [D] . Adams, Michael Louis. 2001

机译：旋转机械中滚动轴承故障的分析：实验，建模，故障检测和诊断。
6. Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers [O] . Ahlam Mallak, Madjid Fathi 2021

机译：液压机械传感器和组件故障检测与诊断LSTM AutoEncoder检测器和诊断分类器
7. Current Based Fault Detection and Diagnosis of Induction Motors. Adaptive Mixed-Residual Approach for Fault Detection and Diagnosis of Rotor, Stator, Bearing and Air-Gap Faults in Induction Motors Using a Fuzzy Logic Classifier with Voltage and Current Measurement only. [O] . Bradley William John 2013

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Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers

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