Development of a Remotely Controlled Data Acquisition System with Wireless Sensors for Bogie Dynamic Load Monitoring

The proposed research focuses on bogie dynamic load monitoring using intelligent sensor networks.

The existing monitoring systems have several problems including inability to monitor precisely,

difficulty in integration with the existing units, and high cost. The proposed research will examine

these issues in detail focusing on five main areas: wireless sensors, product definition, prototype

development, field testing, and industrialization. Sensors based on Micro-Electro-Mechanical (MEMS)

and Nanotechnology will be examined with regard to cost and performance. The proposed research

will finally lead to the design and development of a condition monitoring system for increasing

operating safety and lifespan of the existing and new bogie subsystems while simultaneously reducing

costs of monitoring.

Faculty Supervisor:

Krishna Dev Kumar

Student:

Partner:

Bombardier Transportation Canada Inc

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

Toronto Metropolitan University

Program:

Accelerate

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