What is Reliability Engineering?
By Jarrod Chesher and Rachel Scott
Introduction
Reliability engineering might sound complex, but it has a simple goal: preventing system failures. By understanding how and why systems fail, organisations can take proactive steps to enhance performance, reduce risks, and improve efficiency. In today’s technology-driven world, reliability engineering is critical. Without reliable systems, businesses would face costly disruptions.
In this article, we’ll explore what reliability engineering is, the techniques it employs, and how it can benefit your organisation.
What is reliability engineering?
Reliability engineering is a branch of engineering focused on predicting and preventing system failures. Using statistical analysis, reliability engineering assesses system performance, asset availability, lifecycle costs, and risks. These insights inform maintenance and support programs that help organisations achieve their objectives.
Reliability engineering can be applied to hardware, software, and even human systems, making it a versatile tool across industries.
Key techniques in reliability engineering
Reliability engineering relies on a range of techniques to predict and improve system behaviour:
- Fitting distributions to failure and maintenance data
Statistical distributions help predict system behaviour based on failure and maintenance data. Commonly used distributions include:- Exponential distribution
- Normal distribution
- Lognormal distribution
- Weibull distribution
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2. System modelling
System modelling creates analytical representations of assets to identify weaknesses, prioritise design improvements, and assess characteristics. Popular techniques include:
- Reliability block diagrams
- Functional block diagrams
- Markov models
3. Reliability and maintainability predictions
Before systems become operational, failure and repair rates are used with system models to predict performance. These predictions guide design decisions and optimise support strategies.
4. Simulation
Simulation creates dynamic models to analyse system behaviour under various conditions, including failure and repair scenarios. A common method is Monte Carlo simulation, which supports decision-making in complex environments.
5. Failure mode analysis
This technique identifies potential failure modes for components and assesses their impact on system operation. Often applied during the design phase, failure mode analysis is also valuable for existing systems and informs maintenance planning.
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6. Reliability and maintainability testing
Testing and demonstration validate system reliability in operational environments, uncovering potential issues not considered during the design phase.
7. Physics of failure techniques
These methods analyse how and why components fail, offering scientific insights into material failure mechanisms to predict system reliability.
Benefits of reliability engineering
When used effectively, reliability engineering supports organisational objectives by:
- Reducing the risk of system failures
- Increasing asset availability
- Lowering lifecycle costs
Reliability engineering is essential during system design, development, and sustainment, ensuring systems perform reliably and cost-effectively.
Take the next step
If you’re ready to improve your systems' reliability and reduce lifecycle costs, consider investing in reliability engineering. It could be one of the most valuable decisions for your organisation.
To learn more about how reliability engineering can benefit your operations, contact our team to discuss your specific needs and requirements.
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