An example of using som neural network in identifying vibrations

The paper describes the application of selforganizing (Self Organizing Maps - SOM) neural networks as models to identify the causes of vibration or vibration type of imbalance. The proposed network model presented in this paper can serve as a template for identification of other types of vibratory imbalance and may be integrated within the CMMS (Computerized Maintenance Management System) as an expert system that serves as a support for decision making.