Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology

Aiming at the disadvantage that conventional structuring element for the mathematical morphological can’t adjust its height adaptively,the quantum theory is employed to propose compound quantum-inspired structuring element for erosion( CQSEE),which is used for extracting fault information in vibrati...

Full description

Saved in:
Bibliographic Details
Main Author: Yang Le
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2017-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.09.038
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841547706071252992
author Yang Le
author_facet Yang Le
author_sort Yang Le
collection DOAJ
description Aiming at the disadvantage that conventional structuring element for the mathematical morphological can’t adjust its height adaptively,the quantum theory is employed to propose compound quantum-inspired structuring element for erosion( CQSEE),which is used for extracting fault information in vibration signal from mechanical transmission system. Since CQSEE utilizes quantum theory to depict noise and fault information,it maturely considers different characteristics of noise and fault information during computational process,which realizes the goal of adjusting height of structuring element dynamically. Then CQSEE is applied to analyze the fault signal of rolling element bearing. The result reveals that CQSSE improves the morphological ability of erosion operator.
format Article
id doaj-art-f6643e503bac4a9d92b13c7dd2a5e93b
institution Kabale University
issn 1004-2539
language zho
publishDate 2017-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-f6643e503bac4a9d92b13c7dd2a5e93b2025-01-10T14:21:28ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392017-01-014118919329932489Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical MorphologyYang LeAiming at the disadvantage that conventional structuring element for the mathematical morphological can’t adjust its height adaptively,the quantum theory is employed to propose compound quantum-inspired structuring element for erosion( CQSEE),which is used for extracting fault information in vibration signal from mechanical transmission system. Since CQSEE utilizes quantum theory to depict noise and fault information,it maturely considers different characteristics of noise and fault information during computational process,which realizes the goal of adjusting height of structuring element dynamically. Then CQSEE is applied to analyze the fault signal of rolling element bearing. The result reveals that CQSSE improves the morphological ability of erosion operator.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.09.038Quantum theoryMathematical morphologyFault diagnosisSignal processingStructuring element
spellingShingle Yang Le
Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
Jixie chuandong
Quantum theory
Mathematical morphology
Fault diagnosis
Signal processing
Structuring element
title Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
title_full Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
title_fullStr Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
title_full_unstemmed Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
title_short Vibration Signal Processing for Transmission System based on Quantum-inspired Mathematical Morphology
title_sort vibration signal processing for transmission system based on quantum inspired mathematical morphology
topic Quantum theory
Mathematical morphology
Fault diagnosis
Signal processing
Structuring element
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2017.09.038
work_keys_str_mv AT yangle vibrationsignalprocessingfortransmissionsystembasedonquantuminspiredmathematicalmorphology