Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier

• Published in: Expert systems with applications Vol. 206; p. 117754
• Main Authors: Rajabi, Saeed, Saman Azari, Mehdi, Santini, Stefania, Flammini, Francesco
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.11.2022
• Subjects: Computer Science; Datavetenskap; Fault diagnosis; Multi output adaptive neuro-fuzzy inference system; Permutation entropy; Rolling element bearing; Wavelet transform; Fault diagnosis; Permutation entropy; Wavelet transform; Multi output adaptive neuro-fuzzy inference system; Rolling element bearing

Rotating equipment is considered as a key component in several industrial sectors. In fact, the continuous operation of many industrial machines such as sub-sea pumps and gas turbines relies on the correct performance of their rotating equipment. In order to reduce the probability of malfunctions in...