### this course is not ready for production / in development phase ###
The goal of this course is to equip reliability engineers and vibration analysts with a comprehensive understanding of how to effectively utilise time waveform analysis for the detection and diagnosis of technical problems in machinery. By the end of this intensive week-long course, participants will have gained the skills necessary to interpret time waveform data accurately and to apply this knowledge in real-world scenarios to enhance machinery reliability and performance. Throughout the course, learners will explore the theoretical foundations of time waveform analysis and its practical applications in vibration analysis. They will develop the ability to identify and differentiate between various types of mechanical faults through waveform patterns, such as imbalance, misalignment, and bearing defects. Additionally, participants will learn to integrate time waveform analysis with other diagnostic tools to form a holistic approach to machinery health monitoring. The course will also focus on fostering critical thinking and problem-solving skills, enabling participants to make informed decisions based on waveform data. By engaging in hands-on exercises and case studies, learners will build confidence in their ability to diagnose and troubleshoot complex technical issues. Ultimately, this course aims to enhance the participants' proficiency in using time waveform analysis to maintain and improve the reliability of mechanical systems.
The goal of this course is to equip reliability engineers and vibration analysts with a comprehensive understanding of how to effectively utilise time waveform analysis for the detection and diagnosis of technical problems in machinery. By the end of this intensive week-long course, participants will have gained the skills necessary to interpret time waveform data accurately and to apply this knowledge in real-world scenarios to enhance machinery reliability and performance. Throughout the course, learners will explore the theoretical foundations of time waveform analysis and its practical applications in vibration analysis. They will develop the ability to identify and differentiate between various types of mechanical faults through waveform patterns, such as imbalance, misalignment, and bearing defects. Additionally, participants will learn to integrate time waveform analysis with other diagnostic tools to form a holistic approach to machinery health monitoring. The course will also focus on fostering critical thinking and problem-solving skills, enabling participants to make informed decisions based on waveform data. By engaging in hands-on exercises and case studies, learners will build confidence in their ability to diagnose and troubleshoot complex technical issues. Ultimately, this course aims to enhance the participants' proficiency in using time waveform analysis to maintain and improve the reliability of mechanical systems.
