Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parallel factor analysis (PARAFAC) and support vector machine (SVM) is proposed. The single-channel vibration signal is analyzed by Continuous Wavelet Transform (CWT) to construct the time–frequency represe...
Main Authors: | Hanxin Chen, Shaoyi Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/10/3647 |
Similar Items
-
Multi-Sensor Data Driven with PARAFAC-IPSO-PNN for Identification of Mechanical Nonstationary Multi-Fault Mode
by: Hanxin Chen, et al.
Published: (2022-02-01) -
Multi-source and multi-fault condition monitoring based on parallel factor analysis and sequential probability ratio test
by: Liu Yang, et al.
Published: (2021-07-01) -
Aplicación y significado jurídico canónico de las expresiones IPSO FACTO E IPSO IURE en el Código de Derecho Canónico
by: Julio García Martín
Published: (2024-02-01) -
Selective ipso-Nitration of tert-Butylcalix[4]arene Tripropylether
by: Karim Akbari, et al.
Published: (2000-07-01) -
Prediction of mechanical equipment fault diagnosis based on IPSO-GRU deep learning algorithm
by: Wang Peng, et al.
Published: (2024-01-01)