Coal quality analysis techniques using artificial neural network techniques

Summary form only given. The paper describes the design and development of an online hybrid intelligent system from which coal quality can be determined interactively as an aid to steam power plant operators. The hybrid model combines neural networks with expert systems. The neural net module predicts the online performance of a boiler and its health for various coal blends and load conditions. The expert system deciphers the neural network model results and then diagnoses the situation. If coal quality conditions change, then the expert system alerts the operator and reports any impending consequences and performance degradation. The system then suggests one or more corrective actions to the steam power plant operator