The condition monitoring and performance evaluating of digital manufacturing process

Xuefeng Chen; Bing Li; Hongrui Cao; Zhengjia He

doi:10.1007/978-3-540-88518-4_64

The condition monitoring and performance evaluating of digital manufacturing process

Xuefeng Chen
, Bing Li
, Hongrui Cao
, Zhengjia He

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Spindle assembly is one of the most important components of digital manufacturing equipments. It is key problem to monitor and evaluate its performance to assure the normal process. Aiming at the bearings which damage most easily in spindle system, a new time-frequency analysis method called S transform is studied, time-frequency distribution of vibration signals collected from spindle is obtained, and a singular value decomposition method is employed to condense the time-frequency matrix data so that the fault features can be extracted quantitatively. Simulation and experimental studies have demonstrated that the proposed method may identify the running state of spindle bearing accurately. Thus a new technique for the evaluation of spindle serving performance of digital manufacturing equipments is provided.

Original language	English
Title of host publication	Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings
Pages	593-603
Number of pages	11
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-88518-4_64
State	Published - 2008
Event	1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 - Wuhan, China Duration: 15 Oct 2008 → 17 Oct 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5315 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on Intelligent Robotics and Applications, ICIRA 2008
Country/Territory	China
City	Wuhan
Period	15/10/08 → 17/10/08

Keywords

Digital manufacturing S transform Bearing Spindle

Access to Document

10.1007/978-3-540-88518-4_64

Cite this

Chen, X., Li, B., Cao, H., & He, Z. (2008). The condition monitoring and performance evaluating of digital manufacturing process. In Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings (PART 2 ed., pp. 593-603). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5315 LNAI, No. PART 2). https://doi.org/10.1007/978-3-540-88518-4_64

Chen, Xuefeng ; Li, Bing ; Cao, Hongrui et al. / The condition monitoring and performance evaluating of digital manufacturing process. Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings. PART 2. ed. 2008. pp. 593-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{08839965c87648aea5cb2ea2355e5b8a,

title = "The condition monitoring and performance evaluating of digital manufacturing process",

abstract = "Spindle assembly is one of the most important components of digital manufacturing equipments. It is key problem to monitor and evaluate its performance to assure the normal process. Aiming at the bearings which damage most easily in spindle system, a new time-frequency analysis method called S transform is studied, time-frequency distribution of vibration signals collected from spindle is obtained, and a singular value decomposition method is employed to condense the time-frequency matrix data so that the fault features can be extracted quantitatively. Simulation and experimental studies have demonstrated that the proposed method may identify the running state of spindle bearing accurately. Thus a new technique for the evaluation of spindle serving performance of digital manufacturing equipments is provided.",

keywords = "Digital manufacturing S transform Bearing Spindle",

author = "Xuefeng Chen and Bing Li and Hongrui Cao and Zhengjia He",

year = "2008",

doi = "10.1007/978-3-540-88518-4\_64",

language = "英语",

isbn = "3540885161",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "593--603",

booktitle = "Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings",

edition = "PART 2",

note = "1st International Conference on Intelligent Robotics and Applications, ICIRA 2008 ; Conference date: 15-10-2008 Through 17-10-2008",

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Chen, X , Li, B , Cao, H & He, Z 2008, The condition monitoring and performance evaluating of digital manufacturing process. in Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5315 LNAI, pp. 593-603, 1st International Conference on Intelligent Robotics and Applications, ICIRA 2008, Wuhan, China, 15/10/08. https://doi.org/10.1007/978-3-540-88518-4_64

The condition monitoring and performance evaluating of digital manufacturing process. / Chen, Xuefeng ; Li, Bing ; Cao, Hongrui et al.
Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings. PART 2. ed. 2008. p. 593-603 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5315 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Bing

AU - Cao, Hongrui

AU - He, Zhengjia

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AB - Spindle assembly is one of the most important components of digital manufacturing equipments. It is key problem to monitor and evaluate its performance to assure the normal process. Aiming at the bearings which damage most easily in spindle system, a new time-frequency analysis method called S transform is studied, time-frequency distribution of vibration signals collected from spindle is obtained, and a singular value decomposition method is employed to condense the time-frequency matrix data so that the fault features can be extracted quantitatively. Simulation and experimental studies have demonstrated that the proposed method may identify the running state of spindle bearing accurately. Thus a new technique for the evaluation of spindle serving performance of digital manufacturing equipments is provided.

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DO - 10.1007/978-3-540-88518-4_64

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ER -

Chen X , Li B , Cao H, He Z. The condition monitoring and performance evaluating of digital manufacturing process. In Intelligent Robotics and Applications - First International Conference, ICIRA 2008, Proceedings. PART 2 ed. 2008. p. 593-603. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-88518-4_64

The condition monitoring and performance evaluating of digital manufacturing process

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