Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation

Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation

Feature extraction from vibration signal is still a challenge in the area of fault diagnosis and remaining useful life (RUL) estimation of rotary machine. In this paper, a novel feature called phase space similarity (PSS) is introduced for health condition monitoring of bearings. Firstly, the acquir...

Full description

Bibliographic Details
Main Authors: Fang Liu, Bing He, Yongbin Liu, Siliang Lu, Yilei Zhao, Jiwen Zhao
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2016/5341970
id doaj-b1f412de890c44bc848c940e8357c2dd
record_format Article
spelling doaj-b1f412de890c44bc848c940e8357c2dd2020-11-24T23:06:45ZengHindawi LimitedShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/53419705341970Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life EstimationFang Liu0Bing He1Yongbin Liu2Siliang Lu3Yilei Zhao4Jiwen Zhao5Department of Mechanical Engineering, Anhui University, Hefei 230601, ChinaDepartment of Mechanical Engineering, Anhui University, Hefei 230601, ChinaDepartment of Mechanical Engineering, Anhui University, Hefei 230601, ChinaNational Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei 230601, ChinaDepartment of Mechanical Engineering, Anhui University, Hefei 230601, ChinaNational Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei 230601, ChinaFeature extraction from vibration signal is still a challenge in the area of fault diagnosis and remaining useful life (RUL) estimation of rotary machine. In this paper, a novel feature called phase space similarity (PSS) is introduced for health condition monitoring of bearings. Firstly, the acquired signal is transformed to the phase space through the phase space reconstruction (PSR). The similar vibration always exists in the phase space due to the comparable evolution of the dynamics that are characteristic of the system state. Secondly, the normalized cross-correlation (NCC) is employed to calculate the PSS between bearing data with different states. Based on the PSS, a fault pattern recognition algorithm, a bearing fault size prediction algorithm, and a RUL estimation algorithm are introduced to analyze the experimental signal. Results have shown the effectiveness of the PSS as it can better grasp the nature and regularity of the signals.http://dx.doi.org/10.1155/2016/5341970
collection DOAJ
language English
format Article
sources DOAJ
author Fang Liu
Bing He
Yongbin Liu
Siliang Lu
Yilei Zhao
Jiwen Zhao
spellingShingle Fang Liu
Bing He
Yongbin Liu
Siliang Lu
Yilei Zhao
Jiwen Zhao
Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
Shock and Vibration
author_facet Fang Liu
Bing He
Yongbin Liu
Siliang Lu
Yilei Zhao
Jiwen Zhao
author_sort Fang Liu
title Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
title_short Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
title_full Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
title_fullStr Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
title_full_unstemmed Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation
title_sort phase space similarity as a signature for rolling bearing fault diagnosis and remaining useful life estimation
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2016-01-01
description Feature extraction from vibration signal is still a challenge in the area of fault diagnosis and remaining useful life (RUL) estimation of rotary machine. In this paper, a novel feature called phase space similarity (PSS) is introduced for health condition monitoring of bearings. Firstly, the acquired signal is transformed to the phase space through the phase space reconstruction (PSR). The similar vibration always exists in the phase space due to the comparable evolution of the dynamics that are characteristic of the system state. Secondly, the normalized cross-correlation (NCC) is employed to calculate the PSS between bearing data with different states. Based on the PSS, a fault pattern recognition algorithm, a bearing fault size prediction algorithm, and a RUL estimation algorithm are introduced to analyze the experimental signal. Results have shown the effectiveness of the PSS as it can better grasp the nature and regularity of the signals.
url http://dx.doi.org/10.1155/2016/5341970
work_keys_str_mv AT fangliu phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
AT binghe phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
AT yongbinliu phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
AT silianglu phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
AT yileizhao phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
AT jiwenzhao phasespacesimilarityasasignatureforrollingbearingfaultdiagnosisandremainingusefullifeestimation
_version_ 1725621276875161600

Similar Items