A review on fault detection and diagnosis techniques: basics and beyond

A Abid, MT Khan, J Iqbal - Artificial Intelligence Review, 2021 - Springer
Safety and reliability are absolutely important for modern sophisticated systems and
technologies. Therefore, malfunction monitoring capabilities are instilled in the system for …

Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis

P Mercorelli - Sensors, 2024 - mdpi.com
Fault-finding diagnostics is a model-driven approach that identifies a system's
malfunctioning portion. It uses residual generators to identify faults, and various methods like …

Diagnosis of ball-bearing faults using support vector machine based on the artificial fish-swarm algorithm

CJ Lin, WL Chu, CC Wang… - Journal of Low …, 2020 - journals.sagepub.com
Ball bearings are important parts of all modern rotating machines. Their function is to reduce
friction, support rotating shafts and spindles, and bear loads. Bearing damage can result in …

Parameter-identification investigations on the hysteretic Preisach model improved by the fuzzy least square support vector machine based on adaptive variable chaos …

E Jiaqiang, C Qian, H Zhu, Q Peng… - Journal of Low …, 2017 - journals.sagepub.com
In order to solve the hysteretic character of the piezoelectric material for application, the
initial weight factors of the hysteretic units are calculated by the Preisach theory and the first …

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

Q Wang, L Han, X Fan, J Zhu - Journal of Low Frequency …, 2018 - journals.sagepub.com
To design a distributed fiber optic vibration sensor for urban natural gas pipeline leak
detection, the light polarization fading transmission model based on Jones matrix is built in …

Fault detection enhancement in wind turbine planetary gearbox via stationary vibration waveform data

SA Abouel-seoud - … of Low Frequency Noise, Vibration and …, 2018 - journals.sagepub.com
Planetary gearbox fault diagnosis is very important for reducing the downtime, maintenance
cost, and for improving the safety, reliability, and lifespan of wind turbines. The present work …

Denoising method of vibration signal for CNC machine tool multi-component feed system based on joint analysis method (December 2023)

J Tian, E Shi, C Fang, Y Chen, X Lin, X Deng… - IEEE …, 2024 - ieeexplore.ieee.org
The feed system is an important part of CNC machine tools, and its condition monitoring is
mostly based on vibration signals measured by sensors. To remove the noise mixed in the …

Is fault detection and diagnosis in pneumatic actuator a topic of concern?

BR Navada - Journal of Advanced Research in Fluid …, 2021 - semarakilmu.com.my
The present civilization highly depends on industrial products and hence there is an
increased demand for the same. Therefore, each industry is trying to increase its production …

Parameter-identification investigations on the hysteretic Preisach model improved by the fuzzy least square support vector machine based on adaptive variable chaos …

C Qian, H Zhu, Q Peng, W Zuo… - Journal of Low …, 2017 - search.ebscohost.com
In order to solve the hysteretic character of the piezoelectric material for application, the
initial weight factors of the hysteretic units are calculated by the Preisach theory and the first …

Extracting ground motion characteristics of distant earthquakes for mitigating displacement-sensitive equipment

SK Huang, CT Chen, CH Loh… - Journal of Low …, 2018 - journals.sagepub.com
Ground motions induced by strong, distant earthquakes may contain extremely long-period
seismic waves that have a dominant period of up to 10 s. In general, these long-period …