Variable speed induction motors' fault detection based on transient motor current signatures analysis: A review

MF Yakhni, S Cauet, A Sakout, H Assoum… - … Systems and Signal …, 2023 - Elsevier
Induction motor is a major component in the industrial sector. It is experiencing great
development concerning size, market share, and technological design. Any sudden failure …

Health condition monitoring of a complex hydraulic system using Deep Neural Network and DeepSHAP explainable XAI

AT Keleko, B Kamsu-Foguem, RH Ngouna… - Advances in Engineering …, 2023 - Elsevier
This paper presents a detailed framework for Condition Monitoring (CM) based on hydraulic
systems and multi-sensor data. Nowadays, the CM technique is increasingly deployed for …

A diagnosis framework based on domain adaptation for bearing fault diagnosis across diverse domains

P Ma, H Zhang, W Fan, C Wang - ISA transactions, 2020 - Elsevier
In the current research, the diagnosis process of fault diagnosis models is based on an
assumption that the same feature distribution exists between training data and testing data …

A novel method for autonomous remote condition monitoring of rotating machines using piezoelectric energy harvesting approach

M Khazaee, A Rezaniakolaie, A Moosavian… - Sensors and Actuators A …, 2019 - Elsevier
This paper presents a novel autonomous method for condition monitoring of rotating
machines during operation based on radio frequency (RF) pulse transmission using energy …

Novel adaptive search method for bearing fault frequency using stochastic resonance quantified by amplitude-domain index

D Huang, J Yang, D Zhou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Rotating machinery devices are prone to failure due to severe working conditions, whose
failures will further induce other mechanical faults. Therefore, the fault diagnosis of rotating …

Harnessing fuzzy neural network for gear fault diagnosis with limited data labels

K Zhou, J Tang - The International Journal of Advanced Manufacturing …, 2021 - Springer
Diagnosis and prognosis of gear systems play an important role in modern manufacturing.
While first-principle-based inverse analysis is subject to various limitations, data-driven …

Remaining useful life (RUL) prediction of internal combustion engine timing belt based on vibration signals and artificial neural network

M Khazaee, A Banakar, B Ghobadian… - Neural Computing and …, 2021 - Springer
Timing belt rupture, which can develop quickly and cause severe harm to various engine
components, usually occurs unexpectedly and without prior warning signs. Due to the rapid …

Phase inversion identification in Electrical Submersible Pumps using mechanical vibrations

MB Castellanos, FCT Carvalho, JL Biazussi… - Flow Measurement and …, 2023 - Elsevier
Abstract Electric Submersible Pumps (ESPs) are multistage centrifugal pumps used in the
artificial lift and transport of multiphase fluid mixtures. The flow regime is a liquid–liquid flow …

Numerical method to predict vibration characteristics induced by cavitation in centrifugal pumps

R Cao, J Yuan, F Deng, L Wang - Measurement Science and …, 2021 - iopscience.iop.org
Vibration is a common side effect of cavitation in centrifugal pumps, which are also affected
by other physical processes. Therefore, the study of cavitation based on raw vibration …

Adaptive prognosis of centrifugal pump under variable operating conditions

J Wang, L Zhang, Y Zheng, K Wang - Mechanical Systems and Signal …, 2019 - Elsevier
Condition monitoring and prognosis of a centrifugal pump is essential to increase its
reliability and safety, and reduce downtime and maintenance costs. Due to the complexity …