Electric Motors Predictive Maintenance (Automotive Client)
Our client is a leading automotive manufacturer in Turkey.
Problem
Fast-paced manufacturing pace, allows no time for stoppage
Maintenance engineers are missing "hard-to-detect" defects resulting in failures and severe interruptions of production
Conventional predictive maintenance applications are costly to scale as they require very high frequency of data (i.e. milliseconds) and data collection is typically hardware-dependent (sensors to be placed)
Action
AI detects subtle machine anomalies/defects that might be an indicator of failures – a simple yet capable approach
Implemented plug & play, highly scalable solution that does not require any special sensors or any kind of hardware (utilizes data collected by built-in driver)
Single column of data is enough, no redundant complexity (e.g., electricity current with 500 ms frequency)
Adjustable to different type of machines and equipments that contain an electric motor.