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

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

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 technique is considered through the calculation of the maximum energy to Shannon entropy ratio for twenty-five m...

Full description

Bibliographic Details
Main Authors: M.A. Hashim, M.H. Nasef, A.E. Kabeel, Nouby M. Ghazaly
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Alexandria Engineering Journal
Subjects:
Internal combustion engines
Wavelet packet transform Fault diagnosis
Feature extraction
Supervised and unsupervised learning
Artificial Neural Networks (ANN)
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682030291X

Internet

http://www.sciencedirect.com/science/article/pii/S111001682030291X

Similar Items