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Lecture Notes in Computer Science
We present a supervised learning classification method for model-free fault detection and diagnosis, aiming to improve the maintenance quality of motor pumps installed on oil rigs. We investigate our generic fault diagnosis method on 2000 examples of real-world vibrational signals obtained from operational faulty industrial machines. The diagnostic system detects each considered fault in an input pattern using an ensemble of classifiers, which is composed of accurate classifiers that differ ondoi:10.1007/978-3-642-16687-7_66 fatcat:cmiuncvmzfb33agxm42z3suhye