Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Abstract

Abstract:All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine's future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

Monitoring the Quality of Laser Cutting

“…The generated laser radiation is transported to the laser cutting head by means of a protected and flexible fiber in the energy carrier. The HIGHYAG cutting head is used in the device and the optical fiber is led through the energy carrier (Simon et al, 2017). The modular design allows its integration into dynamically moving laser beam cutting devices.…”