Software reliability and Hardware reliability are two distinct Concepts within the field of engineering each with its own unique characteristics and measurement challenges.
[Read more…]SW reliability
on Product Reliability
A listing in reverse chronological order of articles by:
- Kirk Grey — Accelerated Reliability series
- Les Warrington — Achieving the Benefits of Reliability series
- Adam Bahret — Apex Ridge series
- Michael Pfeifer — Metals Engineering and Product Reliability series
- Fred Schenkelberg — Musings on Reliability and Maintenance series
- Arthur Hart — Reliability Engineering Insights series
- Chris Jackson — Reliability in Emerging Technology series
Markov Chain Analysis
Markov Chain Analysis and Eigenvector/Eigenvalue Problem: A Powerful Tool for Reliability Engineering
In reliability engineering, predicting system behavior over time is crucial for maintenance planning and risk assessment. One powerful mathematical tool for this analysis is Markov Chain modelling. In this article, I’ll demonstrate how Markov Chains can predict device reliability using a real-world example: battery reliability in reliability testing facilities.
[Read more…]How to Fit Data to a Distribution
Understanding the different types of data and their respective uses is critical for product development, testing, and analysis. Each type of data plays a role in ensuring that products meet quality standards and fulfill user needs. As a mechanical engineer with a focus on R&D testing and data analysis, you would likely encounter and utilize these various data types throughout the product development and validation process.
[Read more…]How to Define Proper Product Reliability Goal Video
Defining a proper product reliability goal is a critical step in ensuring that a product meets customer expectations and performs adequately throughout its intended lifespan. This also involves a careful balance between the required level of reliability and the associated costs and complexities of achieving that reliability.
[Read more…]The Power of the Damage-Endurance Model
Unlocking Reliability: The Power of the Damage-Endurance Model in Product Development
Reliability is at the heart of robust product design. Engineers and reliability professionals continuously seek ways to predict, assess, and improve product longevity. One fundamental approach to achieving this is the Damage-Endurance Model, a powerful tool in reliability engineering that helps quantify failure risks and optimize designs.
[Read more…]How to Define Proper Product Reliability Goal
Defining a proper product reliability goal is a critical step in ensuring that a product meets customer expectations and performs adequately throughout its intended lifespan. This also involves a careful balance between the required level of reliability and the associated costs and complexities of achieving that reliability.
[Read more…]What is GR&R (video)
Gage repeatability and reproducibility (GR&R) is a statistical tool used in quality control to assess a measurement system’s capability. It evaluates the amount of variation in the measurement data that is due to the measurement system itself rather than the product being measured. GR&R helps to determine if a measurement system is reliable and whether it’s producing repeatable and reproducible measurements.
[Read more…]Leveraging Bayesian Statistics for Reliability Predictions with Limited Sample Data
Example from BDC Motor Reliability Assessment
Reliability analysis is essential for ensuring long-term performance of hardware components. However, predicting failures with small sample sizes is a challenge. Traditional statistical methods often require large datasets, whereas Bayesian statistics can incorporate prior knowledge to improve predictions by updating beliefs as new data becomes available.
[Read more…]What is GR&R
Gage Repeatability and Reproducibility (GR&R) is a statistical tool used in quality control to assess a measurement system’s capability. It evaluates the amount of variation in the measurement data that is due to the measurement system itself, rather than the product being measured.
[Read more…]Leveraging Survival Analysis for Multi-Modal Failure Analysis in R
In reliability engineering and data-driven maintenance strategies, understanding different failure modes is crucial for designing robust systems. Survival analysis is a powerful statistical tool that allows us to analyze time-to-event data and assess the reliability of components over time. In this article, we’ll explore how survival analysis can be applied to multi-modal failure scenarios using R.
[Read more…]ALT in Depth
Accelerated life testing, ALT, is a method used in reliability engineering to assess the lifespan and performance of a product under accelerated stress conditions. The goal is to uncover potential faults and failures in a shorter time frame than would be possible under normal operating conditions. ALT is particularly useful when the product’s expected lifespan is long and waiting for failures to occur naturally is not feasible.
[Read more…]Test Type to Catch Supplier Defects
Highly Accelerated Stress Screening (HASS) and Highly Accelerated Stress Audit (HASA) are advanced testing methods used to identify potential defects in full assemblies, while burn-in testing is typically applied at the component level. These tests are designed to expose products to extreme conditions to precipitate failures, allowing for corrective actions before the products reach customers.
[Read more…]Six Sigma In 9 Minutes
Six Sigma gives you the tools and techniques to determine what’s making the manufacturing process slow down, how you can eliminate the delays, improve the process, and fix further issues along the way. It is a methodology that has seen worldwide adoption. This video also provides detailed examples on how each of the two Six Sigma methodologies work. The example we’ll be considering is how a car manufacturing company is able to achieve its goals with the help of the Six Sigma methodologies, DMAIC and DMADV.
[Read more…]Test Design for Component Life
Designing a proper test for the life of an electromechanical component involves several steps and considerations. Here next steps proposed to do:
Step #1: Define the Test Objectives: Clearly outline the expected functions and specifications of the component. Identify potential failure modes and criteria. This step is crucial to ensure that the test is aligned with the design specifications and customer requirements of the electromechanical device.
[Read more…]Degradation Test and Diagnostics
Degradation testing for electromechanical components, such as pumps, valves, and sensors, involves a series of steps to identify wear and tear that could lead to system failure. The goal is to detect these signs of degradation early enough to replace the component before it causes a failure.
[Read more…]