COURSE OVERVIEW:

Weibull Analysis serves as the gold standard in the field of reliability engineering, providing a mathematical framework for predicting equipment failure patterns and life cycles. This course provides an in-depth exploration of the Weibull distribution and its ability to model various failure modes, from infant mortality and random failures to age-related wear-out. Participants will examine how to transform raw failure data into actionable insights, allowing for the optimization of maintenance strategies and spare parts procurement.

The scope of this training encompasses the calculation of critical parameters such as the shape factor (Beta), scale parameter (Eta), and location parameter (Gamma). We will investigate the practical application of Weibull plotting on probability paper and the use of specialized software for automated data analysis. The curriculum covers the interpretation of the "Bathtub Curve" and how Weibull slopes dictate whether a component is a candidate for preventive replacement or condition-based monitoring.

Coverage also includes the handling of censored data, such as suspensions and multi-failure mode environments. By focusing on real-world mechanical examples, including bearings, seals, and gearbox components, the course bridges the gap between statistical theory and practical maintenance engineering. Through this detailed study, attendants will gain the expertise necessary to forecast asset life, justify maintenance budgets through data-driven evidence, and significantly improve the overall reliability of industrial plant assets.

COURSE OBJECTIVES:

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

1. Explain the fundamental principles of the Weibull distribution in reliability.
2. Differentiate between Infant Mortality, Random, and Wear-out failure phases.
3. Calculate the Beta (Shape) and Eta (Scale) parameters from failure datasets.
4. Utilize Weibull probability plots to visualize component life cycles.
5. Interpret the slope of the Weibull line to identify the primary failure mode.
6. Manage "Censored Data" and suspensions in reliability calculations.
7. Predict the Mean Time to Failure (MTTF) and B10 life for mechanical parts.
8. Evaluate the effectiveness of current maintenance intervals using Weibull data.
9. Conduct multi-failure mode analysis using Crow-AMSAA models.
10. Justify the procurement of high-quality spares based on reliability forecasts.
11. Utilize Weibull software for automated data processing and curve fitting.
12. Integrate Weibull results into the plant's Asset Management Strategy.
13. Formulate data-driven recommendations for equipment design improvements.

TARGET AUDIENCE:

This course is designed for Reliability Engineers, Maintenance Managers, Asset Integrity Specialists, and Senior Mechanical Engineers.

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.