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This paper proposes a digital signal processor (DSP) based implementation of online air-gap torque estimator for detection of squirrel cage rotor faults. Two noninvasive, computationally efficient methods for online air-gap torque monitoring are discussed. In both the methods, the air-gap torque is computed from two stator voltages and currents and is cost effective when compared with the use of a conventional torque transducer. The online air-gap torque monitor has been implemented using TMS320C31 and successfully tested on faulty cage rotors.