A health management system for large vertical mill. (March 2020)
- Record Type:
- Journal Article
- Title:
- A health management system for large vertical mill. (March 2020)
- Main Title:
- A health management system for large vertical mill
- Authors:
- Han, Sugai
Li, Ansheng
Wang, Hongchao
Gong, Xiaoyun
Wang, Liangwen
Huang, Yixiang
Li, Yanming
Du, Wenliao - Abstract:
- The large vertical mill has complicated structure and tens of thousands of parts, which is a critical grinding equipment for slag and cinder. As large vertical mill always works in severe conditions, the on-line monitoring, timely fault diagnosis, and trend prediction are very important guarantees for the safe service and saving maintaining costs. To address this issue, the health management system for large vertical mill is developed. More specifically, in order to manage reservoirs of state-related running data, the intrinsic physic data, and diagnosis knowledge base, an entity-relationship-model-based database is first constructed. Based on the fault diagnosis reasoning of experts, the fault tree is developed and the fault diagnosis rules are derived. Especially, a hybrid condition prognosis method based on backtracking search optimization algorithm and neural network is developed, and in comparison with traditional back propagation neural network and ant colony neural network, the developed backtracking search optimization algorithm and neural network gets superior hybrid prediction performance in prediction accuracy and training efficiency. Finally, the health management system, including the functions of condition monitoring, fault diagnosis, and trend prediction for large vertical mill is implemented using Microsoft Visual Studio C # and Microsoft SQL Server.
- Is Part Of:
- International journal of distributed sensor networks. Volume 16:Number 3(2020)
- Journal:
- International journal of distributed sensor networks
- Issue:
- Volume 16:Number 3(2020)
- Issue Display:
- Volume 16, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 3
- Issue Sort Value:
- 2020-0016-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-03
- Subjects:
- Vertical mill -- health management system -- data management -- fault diagnosis -- trend prediction
Sensor networks -- Periodicals
Intelligent agents (Computer software) -- Periodicals
Multisensor data fusion -- Periodicals
681.2 - Journal URLs:
- http://www.informaworld.com/smpp/title~content=t714578688~db=all ↗
http://www.metapress.com/openurl.asp?genre=journal&issn=1550-1329 ↗
http://dsn.sagepub.com/ ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1177/1550147720912111 ↗
- Languages:
- English
- ISSNs:
- 1550-1329
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.186400
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13088.xml