Fault diagnosis of diesel engine based on adaptive wavelet packets and EEMD-fractal dimension

X Wang, C Liu, F Bi, X Bi, K Shao - Mechanical Systems and Signal …, 2013 - Elsevier
In this paper a novel method for de-noising nonstationary vibration signal and diagnosing
diesel engine faults is presented. The method is based on the adaptive wavelet threshold …

Diesel engine fault diagnosis method based on optimized VMD and improved CNN

X Zhan, H Bai, H Yan, R Wang, C Guo, X Jia - Processes, 2022 - mdpi.com
The safe operation of diesel engines performs a vital function in industrial production and
life. Because diesel engines often work in harsh environmental conditions, they are prone to …

Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines

JD Wu, JC Chen - NDT & e International, 2006 - Elsevier
A fault signal diagnosis technique for internal combustion engines that uses a continuous
wavelet transform algorithm is presented in this paper. The use of mechanical vibration and …

Investigation of engine fault diagnosis using discrete wavelet transform and neural network

JD Wu, CH Liu - Expert Systems with Applications, 2008 - Elsevier
An investigation of a fault diagnostic technique for internal combustion engines using
discrete wavelet transform (DWT) and neural network is presented in this paper. Generally …

[HTML][HTML] Combustion fault detection technique of spark ignition engine based on wavelet packet transform and artificial neural network

MA Hashim, MH Nasef, AE Kabeel… - Alexandria Engineering …, 2020 - Elsevier
In the present work, the wavelet packet technique based on the vibration signals is proposed
under normal and fault conditions of the spark ignition (SI) engine. A novelty fault diagnosis …

Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs

B Cai, X Sun, J Wang, C Yang, Z Wang, X Kong… - Journal of Manufacturing …, 2020 - Elsevier
The stable operation of diesel engine is critical to the normal production of the industry, and
the prevention, monitoring, and identification of faults are of great significance. At present …

Fault detection and diagnosis of a 12-cylinder trainset diesel engine based on vibration signature analysis and neural network

A Zabihi-Hesari, S Ansari-Rad… - Proceedings of the …, 2019 - journals.sagepub.com
This paper presents a condition monitoring and combustion fault detection technique for a
12-cylinder 588 kW trainset diesel engine based on vibration signature analysis using fast …

A fault diagnosis approach for diesel engines based on self-adaptive WVD, improved FCBF and PECOC-RVM

Y Liu, J Zhang, L Ma - Neurocomputing, 2016 - Elsevier
Targeting the cross-term interference of Wigner–Ville distribution (WVD) and the redundancy
control problem of fast correlation-based filter (FCBF), a novel approach based on self …

Fault diagnosis of gearbox using empirical mode decomposition and multi-fractal detrended cross-correlation analysis

H Liu, J Zhang, Y Cheng, C Lu - Journal of Sound and Vibration, 2016 - Elsevier
A gearbox vibration signal is non-stationary and non-linear and has multiple components
and multi-fractal properties, which make it difficult to effectively extract gearbox fault features …

Combination of optimized variational mode decomposition and deep transfer learning: a better fault diagnosis approach for diesel engines

H Bai, X Zhan, H Yan, L Wen, X Jia - Electronics, 2022 - mdpi.com
Extracting features manually and employing preeminent knowledge is overly utilized in
methods to conduct fault diagnosis. A diagnosis approach utilizing intelligent methods of the …