Online Current Signature Analysis

Online Current Signature Analysis

The PdMA MCEMax test is an online test that evaluates the actual current signature of the machine while in operation.

MCEMAX™ powered by MCEGold® integrates testing, diagnostics, inventory control, scheduling, and cost containment. The comprehensive tester monitors all potential machine fault zones and allows for immediate notification of alarming conditions. The unique static and namic operation enables MCEMAX™ to be utilized on all applications and motors regardless of size, type, or condition. This tester combines the accuracy of motor circuit analysis with the convenience of motor power analysis. The MCEMAX™ is a complete motor/asset management tool for present motor management needs. The comprehensive tester examines all five potential fault zones: stator, rotor, air gap, power circuit, and insulation. MCEmax from PdMA Corporation, is a portable dynamic tester that evaluates electrical motor condition without shutting down your process.

The power analysis portion of the equipment provides valuable insight into incoming power quality, power circuit condition, stator health and motor efficiency. The current and voltage signal can be captured in less than a minute and stored for diagnostics and trending. Utilizing a combination of unbalance parameters and harmonic analysis, EMAX examines the power signal for indications of defects within the different fault zones. Trending data is a critical element in any condition monitoring process. But, spotting motor trends is most effective if the data collected can be organized and viewed as quickly and efficiently as it’s captured. EMAX generates valuable re- ports immediately after testing, enabling you to assess the condition of your motors in the field or trend the data for later use. EMAX reports include a series of graphs, screen plots and historical comparisons.

These reporting capabilities clearly illustrate the status of rotors, stators, power quality and other fault zones, allowing you to discover and evaluate possible problems before they result in lost productivity from forced downtime.