Modeling a Web-Based Bearing Fault Diagnosis System Using UML and Component Technology

Shi, Jie; Zhang, Yijie; Tang, Xiuying; Shi, Jun

doi:10.1007/978-3-642-31968-6_60

Search citation statements

Order By: Relevance

Paper Sections

Select...

A the Characteristic Frequency Of Bearing1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2019

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The calculated characteristic frequency of bearing is the basis of fault diagnosis. According to the formula can calculate the fault characteristic frequency [5]. The characteristic frequencies of bearing (table 2) are calculated under speed 10.1Hz.…”

Section: A the Characteristic Frequency Of Bearingmentioning

confidence: 99%

Vibration Signal Analysis of Bearing Based on EMD and Resonance Demodulation

Shi

Pan

Wang

et al. 2014

AMM

View full text Add to dashboard Cite

In order to monitor the operation state and implement fault diagnosis of rolling bearing in rotating machinery, this paper presents a method of fault diagnosis of rolling bearing, which is based on EMD and resonance demodulation. Using EMD to decompose the signal, which comes from QPZZ-II experimental station, the components of intrinsic mode function (IMF) will be obtained. Then, calculating the correlation coefficient of each IMF component, the highest correlation coefficient of IMF component will be analyzed by resonance demodulation. Finally, the experimental results show that the method can accurately identify and diagnose the running state and bearing fault type.

show abstract

Section: A the Characteristic Frequency Of Bearingmentioning

confidence: 99%