Multifault diagnosis method applied to an electric machine based on high-dimensional feature reduction

JJ Saucedo-Dorantes, M Delgado-Prieto… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Condition monitoring schemes are essential for increasing the reliability and ensuring the
equipment efficiency in industrial processes. The feature extraction and dimensionality …

Fault diagnosis of hydraulic seal wear and internal leakage using wavelets and wavelet neural network

Y Jin, C Shan, Y Wu, Y Xia, Y Zhang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The piston seal wear in hydraulic cylinder is one of the main factors that give rise to an
internal leakage. This paper focuses on diagnosing piston seal wear and subsequent …

An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers

A Hussain, SJ Lee, MS Choi, F Brikci - Expert Systems with Applications, 2015 - Elsevier
Most of the faults on power Circuit Breakers (CBs) and On-Load Tap Changers (OLTCs) on
high voltage transformers are of mechanical origin. Mechanical malfunction, mechanical …

Review on deep learning classifiers for faults diagnosis of rotating industrial machinery

AA Shaalan, W Mefteh, AM Frihida - Service Oriented Computing and …, 2024 - Springer
Rotating industrial machinery underpins manufacturing and infrastructure, yet robust fault
diagnosis remains crucial for optimizing efficiency and minimizing downtime. This review …

[HTML][HTML] Predictive alarm models for improving radio access network robustness

L Li, M Herrera, A Mukherjee, G Zheng, C Chen… - Expert Systems with …, 2024 - Elsevier
With the widespread expansion of telecommunication networks, the increase in the number
and complexity of base stations has led to an exponential growth in the volume of alarms …

Adaptive remaining useful life prediction framework with stochastic failure threshold for experimental bearings with different lifetimes under contaminated condition

B Tajiani, J Vatn - International Journal of System Assurance Engineering …, 2023 - Springer
Deterioration modelling and remaining useful life (RUL) prediction of roller bearings is
critical to ensure a safe, reliable, and efficient operation of rotating machinery. RUL …

An application of machine learning approach to fault detection of a synchronous machine

JG Ferreira, A Warzecha - 2017 International Symposium on …, 2017 - ieeexplore.ieee.org
Accurate fault diagnosis systems should consider both the historical performance and the
assessment of the current state of a machine. Manufacturing, installation, operation and …

A procedure for condition-based maintenance and diagnostics of submersible well pumps through vibration monitoring

A Bianchini, J Rossi, L Antipodi - International Journal of System …, 2018 - Springer
Submersible well pumps, widely used for groundwater, are installed at great depths which
make typical maintenance actions unworkable and costly. Condition-based maintenance …

Model based diagnostic tool for detection of gear tooth crack in a wind turbine gearbox under constant load

R Kumar, SK Roy - International Journal of System Assurance Engineering …, 2022 - Springer
Dynamic modelling of wind turbine drive-train system (WTDS) is important to analyse the
behaviour of the vibration and load sharing characteristics of the gearbox. The WTDS mostly …

Reliability assessment and improvement of air circuit breaker (ACB) mechanism by identifying and eliminating the root causes

SB Rane, YAM Narvel - … Journal of System Assurance Engineering and …, 2016 - Springer
Air circuit breakers (ACBs) are widely used as electro-mechanical devices to protect an
electrical circuit from damage caused by overload or short circuit. Its basic function is to …