COURSE OVERVIEW:

In the modern industrial landscape, the ability to "see" and "hear" equipment health before a failure occurs is a fundamental requirement for operational success. This course provides a comprehensive survey of the four primary diagnostic pillars: Vibration Analysis, Lubricant Analysis, Infrared Thermography, and Airborne Ultrasound. It is designed to demystify these technologies, showing how they complement each other to provide a holistic view of asset integrity and performance.

The scope of this training involves the practical application and theory behind each technology, focusing on what they can detect and, equally importantly, what their limitations are. Participants will learn how vibration analysis captures mechanical faults, how oil analysis monitors internal chemistry and wear, how thermography identifies heat related anomalies, and how ultrasound detects high frequency acoustic signatures. The program emphasizes a multi technology approach, where data from different sources is correlated to increase diagnostic confidence.

Coverage includes the selection of the right tool for the specific machine type, whether it be a high speed turbine, a low speed gearbox, or an electrical distribution panel. Attendees will explore the basics of data collection, the interpretation of reports from service providers, and the integration of these findings into a proactive maintenance schedule. By the end of this course, participants will be able to speak the language of condition monitoring and effectively manage a diverse predictive maintenance toolkit to prevent unplanned outages.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

• Identify the primary failure modes detectable by the four core PdM technologies.
• Understand the physics of vibration and its application in rotating machinery.
• Interpret oil analysis reports to assess fluid health and component wear.
• Use Infrared Thermography to identify electrical and mechanical anomalies.
• Apply Ultrasound technology for leak detection and friction monitoring.
• Select the most cost effective technology for different types of plant assets.
• Understand the concept of the P-F curve and early warning intervals.
• Correlate findings from different technologies to validate a diagnosis.
• Establish baseline readings and alarm limits for new equipment.
• Evaluate the quality of data provided by external monitoring contractors.
• Justify the investment in condition monitoring tools to management.
• Integrate condition based alerts into the daily maintenance workflow.

TARGET AUDIENCE:

This course is designed for Maintenance Supervisors, Reliability Technicians, Plant Engineers, Asset Managers, and Operations Personnel who need a broad understanding of predictive maintenance tools.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximize the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.