Abstract
In this paper a new algorithm for classification and real-time recognition of different (Preliminary assumed) operating modes for construction machines is proposed. This algorithm utilizes the effectiveness of the Self-Organizing Maps (SOM) for creating the so called Separation Models, that are able to distinguish each operation mode separately. After training, these models are used in a real-time procedure, which calculates at each sampling time the minimal Euclidean distances from the current data point to certain node of each SOM. The Separation Medel (SOM) that has produced the least minimal distance determines the number (class) of the operating mode. Simulation results. and consequent analysis, based on experimental data from a hydraulic excavator have shown that the proposed algorithm clearly leads to a higher percentage of true recognitions.
