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As manufacturers continually search for ways to cut costs and increase ROI, machine monitoring and predictive maintenance (PdM) solutions are an increasingly cost-effective way for plants and factories to help reduce process downtime.
This paper presents a method for the acoustic analysis of electric motors in noisy industrial environments. Acoustic
signals were measured via acoustic camera 48-microphone array, which has the capability to localize a sound
(or sounds) source and, in turn, separate those sounds from intrusive background noise. These acoustic analysis results are then compared with vibration measurements; vibration monitoring is a well-known and established technique used in condition monitoring, and in this work vibration measurements were used as a reference signal for assessment of the value of the acoustic measurements. Vibration signals were measured by piezoelectric accelerometers. Two induction motor cases were examined — a healthy motor case, and a combination of static eccentricity with soft foot case. As shown, acoustic analysis appears to be a valuable technique for condition
monitoring of electric motors — particularly in noisy industrial environments.