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Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing.

, , , , and . ICAC, page 1-6. IEEE, (2017)

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Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network., , , , and . Sensors, 19 (9): 2131 (2019)Investigation of motor current signature analysis to detect motor resistance imbalances., , , and . ICAC, page 1-4. IEEE, (2015)Fault diagnosis of reciprocating compressors using revelance vector machines with a genetic algorithm based on vibration data., , , and . ICAC, page 164-169. IEEE, (2014)Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties., , , , , and . Commun. Nonlinear Sci. Numer. Simul., (2020)A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis., , , , and . IEEE Trans. Instrum. Meas., (2022)Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing., , , , , , , , , and . Reliab. Eng. Syst. Saf., (June 2023)An Approach to Reducing Input Parameter Volume for Fault Classifiers., , and . Int. J. Autom. Comput., 16 (2): 199-212 (2019)Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review., , , , and . Sensors, 18 (12): 4113 (2018)An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis., , , and . ICAC, page 329-335. IEEE, (2016)Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis., , , , and . ICAC, page 1-4. IEEE, (2019)