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Three-phase induction motors are widely employed in industrial production processes, due to their low costs of acquisition and maintenance as well as their adaptation in front of different coupled load conditions and robustness for use in harsh environments. Methods that detect an incipient fault when these motors are in operation, even before significant faults may occur, have received special attention from the industry. Thus, a proper diagnosis can lead to a reduction of process losses, service time out, and equipment replacement, also ensure consistent and reliable operation of industrial systems. Thus, this article presents a comprehensive study concerning the detection of bearing faults in induction motors using information theoretical measurements and intelligent tools. Various motor operation conditions are considered, such as variations in coupled load torque and two kinds of power supply: line connected …