Prognostic and Health Management (PHM) is designed to assess and monitor the health status of equipment and to predict when maintenances should be performed. PHM can provide early warning notices before a problematic incident occurred, thereby reducing unexpected shut down of equipment.
Applications & Benefits
ITRI's Prognostic and Health Management, a 2017 R&D 100 Award winner, uses multi-level ensemble learning techniques which integrate a variety of advanced machine learning algorithms with domain knowledge. Along with model adaptation techniques to cope with individual equipment characteristics and drift in environmental conditions, PHM provides high-accuracy fault diagnosis and prognostic technologies. It supplies the means for engineers to early detect problems, effectively monitor the health of the production equipment, determine causes of downtime, and shorten maintenance time. PHM can greatly reduce the uncertainty to which machine malfunction brings.