Fault detection and diagnosis of a plastic film extrusion process [PDF]
, 2010 This paper presents a new approach to the design of a model-based fault detection and diagnosis system for application to a plastic film extrusion process. The design constructs a residual generator via parity relations.
UK EPSRC Industrial CASE Award (Funder) +4 more
core +4 more sources
Fault severity diagnosis of rolling element bearings based on kurtogram and envelope analysis [PDF]
, 2014 Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring.
Gu, Fengshou +6 more
core +7 more sources
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
core +1 more source
A desktop environment for assessment of fault diagnosis based fault tolerant flight control laws [PDF]
, 2008 We present a simulation based software environment conceived to allow an easy assessment of fault diagnosis based fault tolerant control techniques. The new tool is primary intended for the development of advanced flight control applications with fault ...
Gertjan Looye +5 more
core +1 more source
Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion [PDF]
, 2012 Vibrations of a defective rolling bearing often exhibit nonstationary and nonlinear characteristics which are submerged in strong noise and interference components.
Gu, Fengshou +3 more
core +3 more sources
The fault detection and severity diagnosis of rolling element bearings using modulation signal bispectrum [PDF]
The rolling element bearing is a key part in many mechanical equipment. The accurate and timely diagnosis of its faults is critcal for predictive maintenance. Vibration signals from a defective bearing with a localized fault contain a series of impulsive
Gu, Fengshou +3 more
core +3 more sources
Blind Source Separation Method for Bearing Vibration Signals
IEEE Access, 2018 In underdetermined blind source separation (UBSS) of vibration signals, the estimation of the mixing matrix is often affected by noise and by the type of the used clustering algorithm.
He Jun +4 more
doaj +1 more source
International Journal of Rotating Machinery, 2016 The ability of the frequency slice wavelet transform (FSWT) to distinguish the fault feature is weak under the condition of strong background noise; in order to solve this problem, a fault feature extraction method combining the singular value ...
Fu-Cheng Zhou, Gui-Ji Tang, Yu-Ling He
doaj +1 more source
Shock and Vibration, 2022 Fault diagnosis of rolling bearings under variable speed is a common issue in engineering practice, but it lacks an effective diagnosis algorithm, while approaches developed for steady speed cannot be directly applied.
Yujing Huang +4 more
doaj +1 more source
Impact of Fouling on Flow-Induced Vibration Characteristics in Fluid-Conveying Pipelines
IEEE Access, 2016 This paper has addressed the common monitoring problems in petrochemical companies, which are caused by fouling and clogging in the circulating water heat exchangers, and has introduced techniques to monitor the heat exchanger's wall vibrations for early
Jianfeng Huang +4 more
doaj +1 more source