A new failure mode and effects analysis model using Dempster–Shafer evidence theory and grey relational projection method

L Chen, Y Deng - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Failure mode and effects analysis (FMEA) is an important analytical tool in reliability
engineering to identify the critical potential failure modes. In this paper, a new FMEA model …

Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal

Y Miao, M Zhao, K Liang, J Lin - Renewable Energy, 2020 - Elsevier
Due to severe working condition, unexpected failures in wind turbine gearbox become
rather frequent and may lead to long downtime or even catastrophic casualties. However …

Load angle estimation for dynamic stepping motor motion applications

J De Viaene, S Derammelaere, K Stockman - Mechatronics, 2018 - Elsevier
Stepping motors are well-suited for open-loop positioning tasks at low power. Every time the
user sends a next pulse, the stepping motor driver excites the correct stator phases to rotate …

Real-time fault diagnosis using deep fusion of features extracted by parallel long short-term memory with peephole and convolutional neural network

F Zhou, Z Zhang, D Chen - … , Part I: Journal of Systems and …, 2021 - journals.sagepub.com
Analysis of one-dimensional vibration signals is the most common method used for safety
analysis and health monitoring of rotary machines. How to effectively extract features …

Data-driven fault diagnosis of induction motors using a stacked autoencoder network

AJ Skylvik, KG Robbersmyr… - 2019 22nd International …, 2019 - ieeexplore.ieee.org
Current signatures from an induction motor are normally used to detect anomalies in the
condition of the motor based on signal processing techniques. However, false alarms might …

New experimental finding concerning rotor eccentricity fault in mains-fed and closed-loop drive-connected induction motor

T Seddik, G Adel, H Wassila… - Studies in …, 2024 - ojs.studiespublicacoes.com.br
This paper deals with the air-gap eccentricity fault in Squirrel cage induction motor (SCIM)
where the fault has been detected by analyzing both electrical and mechanical quantities …

Online fault diagnosis system for electric powertrains using advanced signal processing and machine learning

JSL Senanayaka, H Van Khang… - 2018 XIII International …, 2018 - ieeexplore.ieee.org
Online condition monitoring and fault diagnosis systems are necessary to prevent
unexpected downtimes in critical electric powertrains. The machine learning algorithms …

Fully Automated Diagnostics of Induction Motor Drives in Offshore Wind Turbine Pitch Systems using Extended Park Vector Transform and Convolutional Neural …

MS Mathew, ST Kandukuri, CWP Omlin - 2024 - uia.brage.unit.no
Due to their location and related complexities, the offshore wind farms (OWF) have higher
downtimes and operation and maintenance (O&M) costs compared to their onshore …

A Composite Linear Active Disturbance Rejection Fault Tolerant Controller for a PMSM System in Unbalanced Load Fault: Design and Hardware Implementation

L Luo, S Sun, J Li, S Li - 2022 IEEE 11th Data Driven Control …, 2022 - ieeexplore.ieee.org
Aiming at the speed fluctuation caused by the unbalanced load fault of the permanent
magnet synchronous motor system, a composite active disturbance rejection fault tolerant …

Real-time fault diagnosis using deep fusion of features extracted by PeLSTM and CNN

F Zhou, Z Zhang, D Chen - Fault Diagnosis and Prognosis Techniques for …, 2021 - Elsevier
Abstract Analysis of 1-D vibration signals is the most common method used for safety
analysis and health monitoring of rotary machines. How to effectively extract features …