COURSE OVERVIEW:

Predictive Maintenance (PdM) is the modern standard for ensuring high asset availability through the use of non-invasive condition monitoring technologies. This course provides an integrated technical overview of the "Big Three" PdM tools: vibration analysis, oil analysis, and infrared thermography. Participants will explore how these complementary technologies can be used together to create a 360-degree view of machine health, allowing for the detection of faults long before they result in mechanical failure.

The course delves into the specific application of each technology to rotating equipment such as pumps, compressors, and gearboxes. Vibration analysis is covered as the primary tool for detecting mechanical issues like unbalance and misalignment, while oil analysis focuses on the "lifeblood" of the machine to identify lubricant degradation and internal wear. Thermography is introduced as a powerful method for identifying thermal anomalies in bearings, couplings, and electrical interfaces that precede mechanical distress.

Coverage includes the development of a PdM strategy that prioritizes assets based on criticality and failure modes. Participants will learn how to correlate data from different sources to confirm a diagnosis and avoid false positives. By focusing on the integration of data, the course empowers maintenance professionals to make informed decisions about when to intervene, thereby optimizing maintenance schedules and reducing the risk of catastrophic asset loss.

COURSE OBJECTIVES:

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

1.  Explain the principles of the P-F Curve and its role in predictive maintenance.

2.  Utilize vibration analysis to identify unbalance, misalignment, and bearing faults.

3.  Interpret oil analysis reports to monitor lubricant health and wear trends.

4.  Apply infrared thermography to detect heat-related defects in machinery.

5.  Integrate data from multiple PdM technologies for accurate fault diagnosis.

6.  Establish baseline signatures for new or recently overhauled equipment.

7.  Select the appropriate PdM tools based on specific machine failure modes.

8.  Set up alarm limits and trend parameters within condition monitoring software.

9.  Conduct a criticality assessment to prioritize equipment for PdM coverage.

10.  Utilize ultrasonic testing as a secondary tool for leak and bearing detection.

11.  Communicate PdM findings and cost-savings to plant management.

12.  Manage the logistics of sample collection and sensor mounting.

13.  Design a long-term predictive maintenance roadmap for the facility.

TARGET AUDIENCE:

Reliability Engineers, Condition Monitoring Specialists, Maintenance Supervisors, and Technicians involved in asset health management.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise 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.