Time Waveform Analysis on Rotating Machinery


This course shows how to detect faults using waveform "pattern recognition" and provides real insight on evaluating fault severity, proves how waveforms often are a much better indicator of fault severity - particularly those caused by bearing, gear, lubrication, rotor rub and impact-type problems and includes a series of real-world case studies to clearly demonstrate how time waveforms should best be used to evaluate rotating machinery.

Course objectives

This course provides in-depth coverage of Time Waveforms and how they can be used to detect a wide variety of faults, plus how they can be used to assess the severity of such faults. While the focus of the class is on vibration time waveforms, it likewise clearly shows how a different approach should be taken when acquiring and evaluating High Frequency Envelope (HFE) waveforms versus classic vibration waveforms (including a difference in setup paramenters for HFE waveforms).

Recommended for

Mechanical, maintenance and machinery engineers and analysts involved in design, specification, acceptance, operation and troubleshooting of industrial process and utility machinery. Plan personnel and others who wish to become experts in diagnosing the behavior of rotating machinery of various types and classifications. Professionals whose primary responsibility is the maintenance of high level performance, reliability and availability of critical process machinery; including rotating machinery specialists and consultants, advanced mechanics, engineers and advanced technicians.



  • JM02025_Low Speed Analysis_tcm_12-107707
  • JM02007_Vibration Principles_tcm_12-101083
  • JM02015_Vibration Monitoring Case Study_tcm_12-111251


  • JM02012_Time Domain Analysis_tcm_12-111210
  • JM02020_Envelope signal processing_tcm_12-158813
  • SKF-SDG-DS01_tcm_12-72344

*On-line learning material at http://www.skf.com/us/knowledge-centre/elearning/index.html

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