Day 1
Students will be provided with a PdMA® Corporation Data Interpretation Book, Data Analysis course workbook, and other materials used during the course. The course begins with an overview that allows them to evaluate their understanding of Fault Zone Analysis and the operation of the MCEMAX using MCEGold®. There will be detailed discussions on how AC induction motors develop stator and rotor faults supporting the use of Fault Zone Analysis. The afternoon focuses on MCE® testing, proper procedures and developing a Motor Circuit Evaluation program.
Day 2
The morning begins with a detailed review of MCEMAX testing and the use of Fault Zone Analysis to evaluate the condition of the motor circuit while operating under load. Students will be taught systematic approaches for working through each of the EMAX tests: Power Analysis, Rotor Evaluation, Eccentricity, Demod, and In-Rush/Start-Up testing. The afternoon will be spent examining EMAX case study material and MCEMAX DC motor testing and evaluation.
Day 3
On the final day of the course students have the opportunity to present their own case study material and work with the group to resolve any specific problems they have experienced while operating the tester in the field. There will be additional material presented covering special testing applications for Variable Frequency and DC Drive circuits, EMAX testing with various types of low voltage distribution systems, and the use of Advanced Spectral Analysis (Demod test) to evaluate mechanical components.
NOTE 1: Students are expected to bring examples of successes they have had with the MCEMAX to share with the rest of the class. The course will be more rewarding when students are willing to share their experiences running a motor testing program with other students.
NOTE 2: The instructor will emphasize group discussions using the databases of the various facilities attending the course. Students are expected to bring data from specific motors as well as questions about the data that they wish to discuss with the instructor and the other students. By focusing on the students’ own data, the course can take advantage of the group’s experiences and lessons learned.
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