#Control and Diagnostic Systems #Diagnostics #Predictive maintenance #Artificial intelligence
Project's goal
Reduce downtimes on car production skid conveyor caused by wear of supporting and guiding rollers of the skid.
Increase efficiency
Results
Reduction of downtimes by 40% and increase of car production by 18 cars a year.
Description of solution
On skid conveyor which transfers vehicles of different stage of manufacture across the entire assembly hall M1 the guide wheels of the skid trucks were damaged frequently. Such damage very often stopped our car production line, and therefore we faced a task of searching for new solutions and eliminate these downtimes. We found out that the existing diagnostic system for scanning of current flows was not reliable and we decided to implement a completely new diagnostic system which, besides monitoring the current flows, also includes the thermo-diagnostics. This new diagnostic system significantly reduced car production downtime, and the maintenance staff also gained an overview of the current state of this machinery.
Benefits
- Automated prediction of skid failure/jam status in the conveyor
- Creation of a predictive algorithm for the development of wear of the skid supporting and guiding rollers
- On-line predictive system of measurement of current characteristics of friction drives
- Thermodiagnostics of skid truck chassis
Project solvers
Ing. Vladislav Andronov
Project Coordinator of Smart Maintenance