Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Self-adaptive selection and decision optimizing method of failure prediction based on equipment vibration signal

[+] Author Affiliations
Guoxin Wu, Xiaoli Xu, Hongjun Wang

Beijing Information Science & Technology Univ. (China)

Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79973T (May 26, 2011); doi:10.1117/12.891999
Text Size: A A A
From Conference Volume 7997

  • Fourth International Seminar on Modern Cutting and Measurement Engineering
  • Jiezhi Xin; Lianqing Zhu; Zhongyu Wang
  • Beijing, China | December 10, 2010

abstract

The status monitoring and failure detection for equipment operation have always been important means to protect equipment for its safe and reliable operation. Therefore, establishing of a self-adaptive selection and decision optimizing model based on trend prediction method can self-adaptively select trend prediction method according to actual operating status so as to improve failure prediction accuracy and expand application range of failure prediction. The failure prediction experimental device was established to verify the practical application of optimal objective function in the fault prediction. The self-adaptive selection and decision optimizing method, which realizes the failure prediction for large size rotating equipments base on vibration signal, not only can adapt failure predictions of different rotating equipments, but also can realize the real-time online prediction for rotating equipment status; moreover, it has self-adaptive judgment method for multiple vibrating trend prediction models so that the optimal prediction results has high judgment success rate. Meanwhile, it provides trend prediction method adopting multiple prediction models and provides prediction results conducted by multiple prediction models. Compared with historical actual value, it has higher judgment value of failure early warning.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Guoxin Wu ; Xiaoli Xu and Hongjun Wang
"Self-adaptive selection and decision optimizing method of failure prediction based on equipment vibration signal", Proc. SPIE 7997, Fourth International Seminar on Modern Cutting and Measurement Engineering, 79973T (May 26, 2011); doi:10.1117/12.891999; http://dx.doi.org/10.1117/12.891999


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.