Event Details

Dr. Dolenc will give a presentation on prognostics and health management.

PHM(Prognostics and Health Management) is highly interdisciplinary engineering discipline that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. Its main goal is maximising availability, reliability, and life-span, while minimising the maintenance costs of the asset.

In this seminar we briefly introduce concept of PHM. In more detail, we present three main task of an PHM system:

(i.) feature extraction - measured data is processed to extract information that reflects systems condition;

(ii.) condition assessment - on-line data/features are evaluated/compared with expected values to detect a change;

(iii.) prognostics - gathered data is used to predict future condition of the monitored system.

Recent developments in PHM at JSI are presented. Feature extraction, as well as prognostics, are discussed on experimental solid oxide fuel cell system. Newly developed algorithm for fault detection is demonstrated on industrial HVAC motor.