Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors

A multi-net fault diagnosis system, designed to provide power estimation and fault identification, is presented. Eight different faults: misfiring of each of the three cylinders, shaft imbalance, clogged intake and a leaking start plug for each cylinder were separately induced in the engine. Only th...

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