Reliability Short Courses
Reliability Short Courses are extracts from the Asset Reliability Practitioner [ARP] courses. They are a great way to learn about individual course subjects without having to study a full 5-day ARP course.
In addition, the short courses can be credited towards the ARP course from which they have been extracted.
All courses are delivered by Jason Tranter, the founder, and CEO of Mobius Institute.
Course subscription duration is for 3 months.
1. End Reactive Maintenance
Summary: How to break out of a “reactive maintenance cycle of doom” to gain control over unplanned breakdowns.
Approximate Course duration: 3 hours
Reactive maintenance is costly and dangerous. To end reactive maintenance, you need a plan to take it head-on. This course goes through the steps that have worked for others who have broken out of the “cycle of doom” and moved from reactive to preventive and predictive maintenance.
2. Asset Criticality and Pareto Analysis
Summary: How to do Asset criticality ranking & the use of Pareto analysis
Approximate Course duration: 3 hours
The Asset Criticality Ranking and Pareto analysis are two powerful and easy to generate metrics that enable you to prioritize everything you do with your reliability improvement program. Rather than having to think about the 10,000 assets in your plant, you can focus on one – the most critical asset. Next, you focus on the second asset in the list, and so on. These lesson modules were taken from the Asset Reliability Practitioner ARP-E course for Reliability Engineers, and shows how to logically and methodically use your time to prioritise on what is most important to produce the biggest result in the shortest time.
3. Reliability Engineering and Data Analytics
Summary: Learn about the importance of data, failure rate, MTBF, data distribution, Weibull analysis, Reliability Block Diagrams and making decisions using reliability data.
Approximate Course duration: 6 hours
- While there is an almost endless number of practical improvements that can be made to improve reliability, a data-driven approach will help to ensure that opportunities for improvement can be revealed, justified, and defended.
- This course takes a practical approach to a theoretical subject. This is not the best course if you are interested in product quality or if you wish to use this course so that you may immediately utilize advanced analysis software. This course will provide a reliability engineering or senior condition monitoring specialist an excellent introduction to the subject. You will then be in the best position to decide if it is an area that you should invest in for your plant.
- You will learn about statistical analysis (which will also help you understand the new world of machine learning), data distributions (Normal/Gaussian and Pareto), the pros and cons of utilizing MTBF, how to prove the value of your program, plus an introduction to reliability block diagrams, Monte Carlo analysis, and more. You will certainly understand the “bath-tub curves” (failure patterns) and the theory behind RCM and condition monitoring – you may be surprised by what you learn!
4. Asset Strategy Development
Summary: How to develop an Asset strategy – using a master asset list (MAL), bill of materials (BOM), FMECA (Failure Modes, Effects and Criticality Analysis), RCM ( Reliability Centered Maintenance) and PMO (Preventive Maintenance Optimization).
Approximate Course duration: 8 hours
- Every reliability (and maintenance) improvement program must utilize a technique that establishes an effective maintenance strategy: the right balance of condition-based maintenance, time-based maintenance, and other elements. Unfortunately, in many plants, the maintenance strategy (and the condition monitoring plan) simply evolve over time. As a result, there are tasks and tests performed that either add no value, provide little value, or in some cases, harm the equipment.
- In this course you will learn how to develop an asset strategy. After a detailed overview of the process, and after describing some of the fundamental components that must be in place (a master asset list, bill of materials, a CMMS, etc.), we will cover four tools that will help you establish the asset strategy.
- First, we will begin with a detailed summary of fault tree analysis (also known as causal tree analysis). While this technique is not used to develop the asset strategy specifically, it is a powerful tool that supports FMECA and RCM (and RCA, which is covered in a separate course).
- Next, we will discuss Failure Modes, Effects, and Criticality Analysis (FMECA). This is a powerful tool that enables you to identify each of the tasks must be performed to ensure that failures are kept to a minimum. This technique is often used when performing root cause analysis, and it should be used during the design phase of new projects to ensure that the lifecycle costs are kept to a minimum.
- Next, we will all discuss Reliability Centered Maintenance (RCM). Some would argue that FMECA is a subset of RCM, but for sure, if you wish to be successful with RCM it helps a great deal to be familiar with FMECA.
- And finally, we will cover Preventive Maintenance Optimization (PMO).
5. Precision and Proactive Maintenance
Summary: Precision is a foundation of Reliability. Learn about precision lubrication, contamination control, precision shaft alignment, rotor balancing, mechanical and electrical fastening, 5S and the visual workplace.
Approximate Course duration: 4 hours
- If you have rotating machinery, they must be precision lubricated, aligned, balanced, and fastened if you wish to achieve the longest trouble-free life and the lowest maintenance costs. This course provides a detailed summary of each of these technical areas.
- Thanks to the use of the Mobius Institute simulations and animations, you will find it very easy to understand each of these technical topics.
6. Condition Monitoring and Condition-based Maintenance
Summary: Using Vibration analysis, ultrasound, oil analysis, infrared thermography, visual inspections, performance monitoring, non-destructive testing (NDT) and electrical equipment testing to determine the health of assets.
Approximate Course duration: 5 hours
- Condition monitoring plays a key role in the reliability improvement program. At the least, it is used to provide a warning of future failures so that corrective maintenance can be planned. In a true reliability-based maintenance program, condition monitoring is an integral part of the planning and scheduling process. In a more enlightened program, it is used to detect the root causes of failure so they may be avoided, and it is used for quality assurance and quality control (acceptance testing when purchasing new equipment and for verifying the quality of work performed on-site).
- This course provides a summary of the major technical areas of condition monitoring: vibration analysis, ultrasound analysis, oil analysis and wear particle analysis, infrared thermography, inspections, performance monitoring, NDT, and electrical equipment testing (including electric motors and transformers – additional electrical applications are covered under ultrasound and infrared thermography).
- Thanks to the use of the Mobius Institute simulations and animations, you will find it very easy to understand the condition monitoring technologies.
- These lesson modules were taken from the Asset Reliability Practitioner ARP-E course for Reliability Engineers, but this course will also be of interest to maintenance managers (and planners/schedulers) and condition monitoring practitioners.
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