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.

This content is only available via PDF.
You do not currently have access to this content.