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Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor.

, , , , , , , and . Neurocomputing, (2020)

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Fuzzy determination of informative frequency band for bearing fault detection., , , , , and . J. Intell. Fuzzy Syst., 30 (6): 3513-3525 (2016)Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor., , , , , , and . Sensors, 24 (2): 461 (January 2024)A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines., , , , and . Expert Syst. Appl., (2022)Hierarchical feature selection based on relative dependency for gear fault diagnosis., , , , , and . Appl. Intell., 44 (3): 687-703 (2016)One-Shot Fault Diagnosis of Three-Dimensional Printers Through Improved Feature Space Learning., , , , , and . IEEE Trans. Ind. Electron., 68 (9): 8768-8776 (2021)Observer-biased bearing condition monitoring: From fault detection to multi-fault classification., , , , , , and . Eng. Appl. Artif. Intell., (2016)Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal., , , , and . Sensors, 15 (9): 23903-23926 (2015)Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM., , , , , and . J. Intell. Manuf., 33 (4): 1031-1055 (2022)A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis., , , , , and . IEEE Trans. Fuzzy Syst., 27 (7): 1362-1382 (2019)Gearbox Fault Diagnosis Based on a Novel Hybrid Feature Reduction Method., , and . IEEE Access, (2018)