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Sensor Placement Analysis for Fault Detectability and Isolability of an Automated Manual Transmission

[+] Author Affiliations
Qi Chen

Hefei University of Technology, Hefei, Anhui, ChinaThe Ohio State University, Columbus, OH

Qadeer Ahmed, Giorgio Rizzoni

The Ohio State University, Columbus, OH

Paper No. DSCC2014-6067, pp. V003T39A002; 10 pages
  • ASME 2014 Dynamic Systems and Control Conference
  • Volume 3: Industrial Applications; Modeling for Oil and Gas, Control and Validation, Estimation, and Control of Automotive Systems; Multi-Agent and Networked Systems; Control System Design; Physical Human-Robot Interaction; Rehabilitation Robotics; Sensing and Actuation for Control; Biomedical Systems; Time Delay Systems and Stability; Unmanned Ground and Surface Robotics; Vehicle Motion Controls; Vibration Analysis and Isolation; Vibration and Control for Energy Harvesting; Wind Energy
  • San Antonio, Texas, USA, October 22–24, 2014
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4620-9
  • Copyright © 2014 by ASME


This paper presents a systematic methodology to identify the sensor placements to maximize the detection and isolation of faults that can affect the performance of Automated Manual Transmissions (AMT). A set of critical faults has been identified using Failure Mode and Effects Analysis (FMEA). A detailed fault modeling has been performed for AMT and the model has been simulated to demonstrate the faults effect on AMT functions. The structurally over-determined part of AMT is determined using the concepts of structural analysis that utilizes AMT structural model. The analysis assists in shortlisting the critical sensors locations for health monitoring of AMT. The results show that the proposed sensors set is economical and the sensor locations ensure the detectability and isolability of the critical faults.

Copyright © 2014 by ASME



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