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- Title
Real-Time Classi cation Algorithm for Recognition of Machine Operating Modes by Use of Self-Organizing Maps.
- Authors
Vachkov, Gancho; Kiyota, Yuhiko; Komatsu, Koji; Fujii, Satoshi
- Abstract
In this paper a new algorithm for classification and real-time recognition of different a-priorily 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 operating 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 a certain node of each SOM. Then the separation model (represented by a respective SOM) that has the least minimal distance to this data point defines the class of the current operating mode. Simulation results and extensive analysis, based on experimental data from a hydraulic excavator have shown that the proposed algorithm outperforms the standard one-model approach. It is faster in the terms of computation time for training and leads to a higher percentage of true recognitions.
- Subjects
SELF-organizing maps; REAL-time computing; COMPUTER algorithms; SELF-organizing systems; COMPUTER simulation
- Publication
Turkish Journal of Electrical Engineering & Computer Sciences, 2004, Vol 12, Issue 1, p27
- ISSN
1300-0632
- Publication type
Article