Product Description
Motor Current Signature Analysis (MCSA) Services involve online monitoring of motor current to detect faults in single- or three-phase induction motor drives while they remain in operation. Issues that can be identified through MCSA include broken or multiple broken rotor bars, stator core and winding damage, bar and core defects caused by overheating, abnormal air-gap eccentricity, and various mechanical irregularities reflected in the motors current signature.
ROKADE Group delivers advanced predictive maintenance solutions and troubleshooting tools for AC and DC motors, coils, windings, transformers, generators, and more across diverse industries worldwide. We offer a comprehensive range of testing instruments, software, accessories, and training programs tailored to meet the unique requirements of our clients.
This technology enables both online and offline testing of electrical equipment, helping diagnose numerous electrical and mechanical issues. It can assess the motor, the driven equipment, and the power supply. As a preventive maintenance method, MCSA can be used for one-time evaluations or scheduled testing to monitor and trend motor health over time. Because it is non-intrusive and can be performed remotely such as from Motor Control Centers (MCCs) it provides a safe and efficient way to analyze current waveforms using advanced mathematical techniques without interfering with normal equipment operation.
Detections Using Motor Current Signature Analysis
- Stator faults.
- Static and Dynamic air-gap irregularities.
- Broken rotor bar or Cracked rotor end-rings.
- Bearing and Gearbox failures.
- Abnormal connection of the stator windings.
- Bent Shaft (causing serious damage to stator core and windings).
Benefits
- Improved Economic Efficiency
- Increased Machine Performance
- Saving in maintenance costs
- Reduced Machine Failures
- Provides "Early Warning"information.
- Determine root cause of problem.
- It is Safe, Fast & Non-intrusive.
- Ultimate goal: Save time & money.
- Reduce unscheduled downtime by predicting imminent motor failures & identifying problem areas.