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Basic Reliability Engineering Concept & Application for Maintenance

Many people working in maintenance function in various industries have probably heard about this wonderful discipline or tools called Reliability Engineering. How it is “suppose” to be able to help us understand our assets behavior. And how this understanding could then help us improve those assets reliability.

Fueled by some success stories half way around the world, apparently this field has brought new insight to maintenance improvement effort which has prompted organizations to jump into the bandwagon by purchasing those wonderful reliability engineering software without really understanding what reliability engineering is. In fact, we have found that some of the reliability engineering courses offered publicly are too focused on the use of specific analytical tools developed by a specific software house.

We have also found in many organizations, that the reliability engineering tools they have bought hastily under the wonderful promises of becoming the magical tool to analyze the failures, were rarely used, if none at all. All this because there was lack of solid understanding on the subject. On how and what they want to use it for, and on what the requirements are. 

Not very many realized that in addition to properly learn how to use reliability engineering theories and tools, they would also need to review, understand, and re-structure their failure data correctly, before their tools may be of some use. So understanding data is one very important aspect and nobody teach them about these data requirement properly. Well, at least not until now.


So what is reliability engineering? What are the requirements? What can it actually be used for? And also how is it suppose to be used in improving our maintenance decisions?


Our 2 days training course on Basic Reliability Engineering Concept and Application for Maintenance, demystifies this discipline such that it will enable you to properly plan for and use the theories to help your organization in making the right maintenance decisions. This training is a mix between basic theories and concepts of the background statistics primer, applicative reliability engineering theorem with hands-on exercises using the provided worksheet tools and model to ensure understanding.


In this course you will learn :


  • the contribution of reliability engineering in maintenance development. By learning this you will gain understanding to use reliability engineering tools according to its function.

  • an understanding the reliability engineering structure, asset hierarchy, failure mode, reliability engineering data definition and types, and data collection. By learning this you will gain how to model your maintenance data according to the requirement of basic reliability data, how to use your existing data for reliability engineering analysis, how to cleanse reliability engineering data, and how to filter data by failure mode standardization.

  • an probability theory and distribution types used commonly in reliability engineering. By learning this you will gain understanding how to calculate reliability for component run discrete or continuously, and what relation between Weibull distribution and the other distributions.

  • an basic reliability engineering analysis, distribution model parameter estimation, and Weibull distribution parameter estimation. By learning this you will gain understanding how to estimate Weibull distribution parameters, and how to interpret Weibull parameters.

  • an degradation analysis, linear regression types, and linear regression calculation. By learning this you will gain understanding how to estimate life of critical component where this component never fails due to it is replaced before fail.

  • component duty cycle model. By learn this you will gain understanding how to identify component run continuously or discrete, how to model component duty cycle, and how to calculate the reliability of component duty cycle.

  • an . By learning this you will gain case and stochastic the deterministiccomponent replacement (Preventive Maintenance) optimization for understanding how to optimize maintenance interval according to the maintenance objective (minimize maintenance cost or minimize breakdown time).

  • an this you will gain learningsystem reliability analysis, K-out-of-n parallel redundancy, and parallel redundancy. By understanding how to choose the best maintenance tactic which able to improve your asset reliability.


Join us in this exciting course aimed to help you understand your asset better and improve your maintenance decision making.

Like to know more about our training programs?

Contact us for more information

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