Toubakh, Houari Sayed-Mouchaweh, Moamar Benmiloud, Mohammed Defoort, Michael Djemai, Mohamed
Published in
ISA transactions
This paper proposes a scheme based on the use of unsupervised machine learning approach and a drift detection mechanism in order to perform an early fault diagnosis of simple and multiple stuck-opened/stuck-closed switches in multicellular converters. Only the data samples representing the normal operation conditions are used in order to be adapted...
Karimi Pour, Fatemeh Theilliol, Didier Puig, Vicenç Cembrano, Gabriela
Published in
ISA transactions
The accurate estimation of the State of Charge (SOC) and an acceptable prediction of the Remaining Useful Life (RUL) of batteries in autonomous vehicles are essential for safe and lifetime optimized operation. The estimation of the expected RUL is quite helpful to reduce maintenance cost, safety hazards, and operational downtime. This paper propose...
Zhang, Chuanfang Peng, Kaixiang Dong, Jie
Published in
ISA transactions
As a typical complex industrial process, hot rolling process (HRP) is different from chemical process. Strip steels are produced coil by coil, that means there is a long idle period between coils. The rolling speed is very high and the producing time of each coil is usually a few minutes. Previous researches mostly focus on fault detection in loade...
Zhu, Qingyang Su, Shuai Tang, Tao Liu, Wentao Zhang, Zixuan Tian, Qinghao
Published in
ISA transactions
The energy-efficient train operation methodology is the focus of this paper, and a Q-Learning-based eco-driving approach is proposed. Firstly, the core idea of energy-distribution-based method (EDBM) that converts the eco-driving problem to the finite Markov decision process is presented. Secondly, Q-Learning approach is proposed to determine the o...
Kumar, Prashant Hati, Ananda Shankar
Published in
ISA transactions
Early fault detection in squirrel cage induction motor (SCIM) can minimize the downtime and maximize production. This paper presents an adaptive gradient optimizer based deep convolutional neural network (ADG-dCNN) technique for bearing and rotor faults detection in squirrel cage induction motor. Multiple MEMS accelerometers have been used for vibr...
Meng, Xiangxiang Yu, Haisheng Zhang, Jie Xu, Tao Wu, Herong Yan, Kejia
Published in
ISA transactions
A novel input/output feedback linearization control method by utilizing nonlinear disturbance observer (NDOB) is proposed for a quadruple-tank liquid level (QTLL) system in this paper. Firstly, the mathematical model of QTLL system is established by using Bernoulli's law and mass conservation. Secondly, in view of the nonlinear and coupling charact...
Lu, Weipeng Yan, Xuefeng
Published in
ISA transactions
The visualization of an operating state of industrial processes allows operators to identify and diagnose faults intuitively and quickly. The identification and diagnosis of faults are important for ensuring industrial production safety. A method that combines variable-weighted Fisher discriminant analysis (VWFDA), t-distributed stochastic neighbor...
Wang, Chengwen Ji, Xinhao Zhang, Zhenyang Zhao, Bin Quan, Long Plummer, A R
Published in
ISA transactions
Back-stepping design method is widely used in high-performance tracking control tasks As is known to all, the controller based on back-stepping design will become complex as the model order increases, which is the so called "explosion of terms" problem. In this paper, a tracking differentiator (TD) based back-stepping controller is proposed to hand...
Zhou, Xinli Li, Xingfei
Published in
ISA transactions
This paper investigates a trajectory tracking control scheme for electro-optical tracking systems subject to friction and other nonlinear disturbances. The proposed approach is based on a super-twisting extended state observer (ESO) and a fractional-order nonsingular terminal sliding mode (FONTSM) with a switching-type reaching law. The novel hybri...
Kumar, Pankaj Jain, Madhu Meena, Rakesh Kumar
Published in
ISA transactions
In this study, fuzzy modeling and service control based on optimal N-policy for fault tolerance system have been investigated. The impacts of failures and recovery along with the reboot process are taken into account for the assessment of performance indices of the system operating under redundancy and provision of maintainability. The non-Markovia...
