0

Full Content is available to subscribers

Subscribe/Learn More  >

Structural Analysis-Based Fault Diagnosis of Pneumatic Systems

[+] Author Affiliations
Brian M. Rahman, Greg T. Busch, Qadeer Ahmed, Giorgio Rizzoni

Ohio State University, Columbus, OH

Paper No. DSCC2016-9888, pp. V001T12A004; 10 pages
doi:10.1115/DSCC2016-9888
From:
  • ASME 2016 Dynamic Systems and Control Conference
  • Volume 1: Advances in Control Design Methods, Nonlinear and Optimal Control, Robotics, and Wind Energy Systems; Aerospace Applications; Assistive and Rehabilitation Robotics; Assistive Robotics; Battery and Oil and Gas Systems; Bioengineering Applications; Biomedical and Neural Systems Modeling, Diagnostics and Healthcare; Control and Monitoring of Vibratory Systems; Diagnostics and Detection; Energy Harvesting; Estimation and Identification; Fuel Cells/Energy Storage; Intelligent Transportation
  • Minneapolis, Minnesota, USA, October 12–14, 2016
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5069-5
  • Copyright © 2016 by ASME

abstract

A significant cost in industrial fluid systems is associated with system maintenance and unexpected downtime due to the troubleshooting and repair of system faults. In large complex systems, faults are often difficult to identify and predict, but recent advances in technology have enabled low-cost wireless-capable sensors, which can provide an unprecedented amount of data to system owners. Combining this data with knowledge of the system dynamics, and a methodical structural analysis-based fault diagnosis approach, provides new opportunities in the field of fault diagnostics. The goal of the project described in this paper is to develop methods to detect and diagnose faults in industrial fluid systems in order to minimize downtime costs and energy losses, with minimum system capital cost in mind.

This paper summarizes a portion of the first phase of this project, which focuses on fault modeling of a small-scale compressed-air test bench. Specifically, the design of the test bench, creation and validation of a flow model used to understand the test bench system dynamics, fault and structural analysis of an element of the test bench (an orifice-pipe combination), and the generation of a sensor installation guide that indicates what type and where to place sensors to detect and isolate faults that may occur. The sensor installation guide provided insight that all faults in the orifice-pipe element were detectable and isolable to the desired level with only a pressure sensor in the orifice and pipe. Orifice and orifice pressure sensor faults were uniquely isolable, but pipe and pipe pressure sensor faults were only isolable.

Copyright © 2016 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

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 and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In