Monitoring technical systems with prototype based clustering
Thorsten Bojer, Barbara Hammer, C. Koeers · 2003
Abstract. We present an application of generalized relevance learning vector quantization (GRLVQ) to the supervision of piston compressors in industry. Thereby, GRLVQ constitutes a prototype-based clustering algorithm with adaptive diagonal metric based on LVQ. In the reported application, further adaptation of the distance measure is necessary in order to allow invariance with respect to small time shifts. Depending on the respective sensors, very good classification results are obtained. 1.