Condition Monitoring and Diagnostics of Machines - Vibration Condition Monitoring (0.6 CEUs)

Description
Condition Monitoring and Diagnostics of Machines – Vibration Condition Monitoring is a topic of direct interest and of relevance to a wide range of industries using rotating machines. This topic is of paramount interest for the general industry, power plants and energy sector, oil and gas sector and alike. The challenge to the asset management teams is to detect failure, ascertain the failure prognosis, and intervene at the right time – not too early and certainly not too late. Good news is that the vibration measurement and analysis techniques have come of age, and many of the latest techniques can pick up early signs of failure. Through proper trending the Remaining Useful Life (RUL) and the PF interval of an equipment can be predicted and suitable time to intervene without invoking the risk of sudden failure, can be determined. This information, when clubbed with the plant and machine history (MTBF, FRCA), OEM recommendations and industrial experience, can be used to craft a suitable Predictive maintenance related action plan.

Inter alia this is all about, optimizing the maintenance strategy, OPEX and CAPEX to ensure safety, environmental concerns and maximum plant and equipment availability, and longevity. This topic is of great interest to asset managers, maintenance engineers, plant operation and commissioning teams, and members of the reliability team. This course is an abridged 2-day course. The state-of- the-art concepts related to the vibration measurement and vibration analysis techniques are summed up. The signature vibration frequencies related to common faults in machines are covered in the course, and relationship of these to specific defects in different types of machines are explained. The vibration measurement and analysis approach for the diagnostic and acceptance purposes is different from those applicable to condition monitoring. In this course our focus will be on the practical rules and tips for direct application in the field. On the second day in the last session, we will introduce the developing concepts in maintenance of machines pertaining to Artificial Intelligence - Machine Learning.

 
Objective
The course objective is to give the participants a practical understanding of the vibration measurement and analysis techniques and its application in Condition Monitoring systems. The requirements of condition monitoring are different from the standard maintenance approach. Through this course the use of vibration analysis approach for the purpose of Condition Monitoring will be explained. Finally, the application of contemporary techniques – that is Artificial Intelligence (machine learning) used in maintenance is introduced. 
 
Target Audience

• Manager, engineers, and technicians who are responsible for:
• Machine maintenance,
• Asset health management,
• Safety and reliability, and
• Condition monitoring.

 
Level of Course
This course is classified as intermediate cum advanced level because although we will spend some time on the basic concepts of vibration and condition monitoring, we will soon delve into advanced details of these 2 areas. As we go along, we will venture into more sophisticated concepts and techniques and finally end up looking at AI and Machine learning and its application in the maintenance arena.
 
Learning Objectives
The learning objective of this course is to establish a link between the theory and practice and has direct application in the field. The challenging task for the asset management and maintenance teams is to determine the length of the PF interval or to ascertain the Remaining Useful Life of the equipment. After going through this course, the participants will know how the advanced vibration measurement and analysis techniques can be used to ascertain the condition of the machines and thus can be used for planning (predictive) maintenance.
The latest developments in the field of maintenance as we will peek into the Article Intelligence and Machine Learning techniques when applied to the maintenance of machines will also be covered in this course.
 
After completion of this course, the participants will be able to:

• Understand fundamentals of vibration measurement – data acquisition, signal processing, vibration instruments etc.
• Understand vibration analysis schematic and approach,
• Understand fundamentals of condition monitoring – remaining useful life, the PF curve and PF interval,
• Corelate signature vibration frequencies depicting defects to the machine health,
• Recognize the importance and usage of base lining vibration magnitude and frequencies and its application,
• Appreciate the new concepts and application of AI techniques.

 
Special Feature 
This topic is of direct interest to almost all of the industry. Wherever, rotating machines are used, vibration need to be measured and troubleshooting and corrective actions are required to keep the vibration under acceptable levels.