Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of articles by:
Quantitative and qualitative risk analyses are two fundamental approaches in risk management, each with its distinct advantages, limitations, and applicability to different scenarios, especially in the context of product development
[Read more…]
Modern militaries don’t win many wars these days. The most dominant, well-funded, highly-trained armies have consistently lost (or at least not won) the Korean War, Vietnam War, Afghanistan War, arguably the Iraq War, and plenty of others. And many dominant, well-funded, highly-trained companies are consistently spitting out unreliable or unimaginative products that smaller and less dogmatic companies have no problem bettering.
To understand why, let’s look at a man called Robert McNamara.
[Read more…]
September 2013. That was the date I accepted an offer for a Maintenance and Reliability Engineer role in one of the largest oil and gas service companies in the world. I had no clue what the role really meant. Since it was about industrial equipment, I thought, I am a Mechanical Engineer, I will figure it out.
Later I realized it was not only me who did not know what reliability engineers do. More or less all my stakeholders, including my manager, were not very clear about it either. So, I had to learn on my own, and later find ways to add value to the business.
If you are a fresh graduate engineer looking to build a career in reliability engineering, or a company unsure about what type of engineering service to seek or who to hire to improve product or process reliability, you are in the right place.
By spending just 10 minutes reading this article, you will learn:
As industries increasingly rely on complex electromechanical systems, the importance of Return Parts Analysis (RPA) cannot be overstated. This crucial process involves forensic examination of failed components to determine root causes and prevent future issues. Let’s explore why RPA is essential, particularly for components like valves, sensors, pumps, and electrical boards.
Return Parts Analysis provides invaluable insights into component failures offering benefits that extend far beyond simple troubleshooting.
[Read more…]
Statistical tools play a critical role in product validation, particularly in the automotive industry where ensuring quality, safety, performance, and reliability is paramount. The search results provide a wealth of information on various statistical tools and methods that are commonly used during the different stages of product validation. Here are some of the most frequently used statistical tools based on the provided sources.
[Read more…]
In the automotive industry, particularly when dealing with electromechanical components, the validation process is a critical phase that ensures the safety, reliability, and performance of products before they reach the market. However, there is a growing Trend among companies to avoid failures during this process. Often leading to panic when they occur.
This article explores why encountering failures during validation should be seen as a blessing rather than a disaster.
[Read more…]
Burn-in testing is a critical reliability testing method used extensively in the electronics and electromechanical industries to identify and eliminate early-life failures in components. This process involves subjecting components or systems to normal or elevated stress conditions to accelerate the occurrence of latent defects. Here’s a detailed exploration of how burn-in testing works, its methodologies, and its importance in ensuring product reliability:
The primary goal of burn-in testing is to detect early failures, also known as infant mortality failures, in components before they are integrated into final products or shipped to customers. These failures typically occur due to defects introduced during the manufacturing process or inherent weaknesses in materials that manifest under operational stress. [Read more…]
The power of historical failure data is a gold mine of information for reliability engineers. It provides a window into the life cycle of products, revealing patterns and trends that can inform future designs and manufacturing processes. By analyzing this data, we can identify common failure modes, detect early life failures indicating quality or production issues, determine the onset of wear-out stages, and predict time to failure for similar products.
[Read more…]
Predicting all failures in any system, including the automotive industry, is an inherently complex and challenging task. The inherent unpredictability of certain failure modes, coupled with the vast array of variables in operational environments, makes it impossible to foresee every potential failure. However, through strategic approaches and methodologies, it is possible to minimize major failures and reduce the infant mortality failure rate, thereby enhancing the reliability and safety of automotive products.
[Read more…]
In the fast-evolving world of electric vehicles EVs), the Precision and reliability of components such as electromechanical valves are critical. These valves, which control the flow of coolant to manage battery temperature, must perform flawlessly under varying conditions. This article delves into the importance of reliability at each stage of product development, from design review to customer release.
[Read more…]
Design for Reliability (DfR) is a critical aspect of the product development process, particularly for electromechanical products where the interplay between electrical and mechanical components can introduce complex failure modes. DfR is a systematic approach to ensuring that a product is reliable over its intended lifespan and under the conditions it will face during use. It involves a variety of techniques and practices aimed at identifying and mitigating potential failure points early in the design process.
[Read more…]
When faced with recurring equipment failures, identifying the root cause is only half the battle. The real challenge lies in implementing an effective solution that addresses the issue while considering various stakeholder perspectives. In this article, we’ll explore a comprehensive approach to optimizing decision-making for equipment failure.
[Read more…]
After successful DV testing, the product moves into the PV phase. PV testing is conducted on units that are manufactured using the final production process, materials, and equipment. The purpose of PV is to validate that the production process can consistently produce units that meet the design specifications.
The sample size for PV is typically smaller than for DV, as indicated by the user input of around 10 samples. This is because the focus of PV is on the consistency and capability of the production process rather than the design itself.
These tests are crucial for products that incorporate complex mechanical, electrical, and chemical components, as they must perform reliably under a wide range of operating conditions and comply with stringent safety and environmental regulations.
[Read more…]
Yes, reliability testing can be done in parallel with design validation (DV). This approach has both advantages and disadvantages, which are important to consider in the context of product development and testing. Pros of conducting reliability testing in parallel with design validation include time efficiency. Conducting reliability testing in parallel with (DV) can significantly reduce the overall time required for product development. By overlapping these processes, you can identify and address potential issues earlier, which can accelerate the time to market. Early detection of issues running reliability tests alongside (DV) allows for the early detection of design flaws or weaknesses. This can lead to quicker iterations and improvements, enhancing the overall quality and robustness.
[Read more…]
Abstract—Failures in the execution of software can have many different causes. Errors in coding, incorrect sequence of software execution, and other factors result in software “bugs” that, when discovered, must be corrected for reliable system operation. However, this paper focuses on another cause of software failures: those that come from variations in the many tiers of component manufacturing and system assembly. This paper shows how applying thermal HALT on electronic circuits, and systems helps skew parametric performance at the circuit board and system levels and increase the probability of discovering marginal signal quality and integrity, which can lead to software operational failures.ssues
Update as of July 15, 2025: Kirk created a technical paper based on the material originally posted below. It has been updated, includes references, and has been reviewed.
[Read more…]