Research Article
Fault Diagnosis and Detection in Industrial Motor Network Environment Using Knowledge-Level Modelling Technique
Table 4
Description of the implemented ANN.
| Tasks | Configuration of the implemented ANN |
| Network type | Feed Forward Neural Network | Learning method | Back propagation | Training goal | 0.01 | Input data of each motor for each experiment | The input is the one-dimensional matrix for the ANN of 4 inputs where all data in each sensing point near motor are in a fault index | Number of hidden layer neurons | Different architectures are applied with different neurons. For example, [4 × 3 × 4], [4 × 10 × 4], and [4 × 15 × 4] (see Figure 9) | Vector of classes for the target outputs | Numerical matrices refer to the fault with value 1 or 0 |
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