Advanced Vibration Analysis for Equipment Reliability

 Vibration Analysis for Equipment Reliability
 

This advanced course is designed to equip participants with the skills and knowledge to solve complex vibration problems, including transient and forced vibrations, resonance, isolation, damping, advanced signal processing, and torsional vibration analysis. It provides a deep dive into advanced vibration analysis techniques such as two-channel analysis, modal analysis, operating deflection shape (ODS), synchronous time averaging, and torsional vibration analysis. The course also serves as partial preparation for the ISO 18436-2:2014 Vibration Analyst Category IV Certification Exam. Hands-on workshops and demonstrations are integrated throughout the course to reinforce theoretical concepts with practical applications.
 

This course builds on foundational vibration analysis knowledge and focuses on advanced data processing, machinery diagnostics, and integrating spectral, waveform, phase, and transient data for comprehensive problem-solving. Participants will gain expertise in advanced resonance detection, transient analysis during run-up/run-down, and the interpretation of machinery operating parameters.

• Develop advanced vibration analysis procedures and equipment databases.
• Create detailed and actionable vibration analysis reports.
• Integrate and analyze data from multiple sources, including spectrum, waveform, phase, transient, and trending data.
• Apply advanced signal processing techniques, including sampling rate optimization, windowing, averaging, and alarm limit settings.
• Diagnose complex machinery problems involving resonance, damping, and transient vibrations.
• Perform modal analysis, operating deflection shape (ODS) analysis, and torsional vibration analysis.
• Utilize dual-channel analysis techniques for transfer functions, coherence, and mode shapes.
• Interpret and apply advanced diagnostic tools such as Nyquist plots, Bodé plots, and Hilbert transforms.
• Conduct damping measurements and calculations using various methods.
• Understand and apply synchronous time averaging and transient analysis techniques.