Project Background & Benefit
In this project, an intelligent condition-based key machinery assets maintenance management (ICKMAMM)platform were designed and developed for the textile industry, using Artificial Intelligence, smart sensor, and RFID techniques. This is done to obtain data, such as real-time asset condition status from different types of sensor devices (e.g., infrared temperature, accelerometer, and optical sensors). Based on the captured and processed data, the system monitors the operation states of an asset and provides recommendations for maintenance actions and operational decisions.
The project will directly benefit the local textile industry, especially companies that have their own assets in the manufacturing plants. Based on initial interviews and feedback with industry users, collection of measurement data from different sensors and aggregation to asset condition status, such as motor health status, is important as it can prevent fatal breakdown of assets. At present, there is a great need for continuous tracking of the asset condition status.