Ensure reliability within a specific time frame and confidence Demonstrate that your product's reliability goals are met. Design effective reliability and demonstration tests with appropriate sample size, test duration, and more. Extrapolate failure times based on performance Perform degradation data analysis and destructive degradation analysis with a variety of available models fit for your unique projects.
The Accelerated Life Testing module provides complete solution for accelerated test planning and quantitative accelerated life testing data analysis. Design accelerated life tests and calculate necessary reliability metrics to significantly reduce test times and lower development costs. With the most complex accelerated test data analyses and test plans available for multiple stress types, where stress is constant or varies by time, you will be able to produce more robust designs.
Its graphical user interface enables new users to master this tool in a relatively short period of time. Training and education Private training Online training Engineering services Customer support.
ReliaSoft products and services empower reliability professionals worldwide by promoting efficiency and innovation. This result includes the Rho, which is the correlation coefficient, and the LK Value, which is the value of the log-likelihood function based on the current parameter solution. To create a probability plot, you click the Plot icon on the control panel. Probability Plots : The Weibull probability plot is drawn on a "Weibull probability plotting paper" that displays time on the x-axis using a logarithmic scale and the probability of failure on the y-axis using a double log reciprocal scale.
From the plot, you can obtain the probability of failure at a given time or vice versa. To obtain the results from the plot, you click the plot line. This displays crosshairs that show the current location on the line. You can move the mouse pointer to track the coordinates from any position on the line. You click the plot again to return to normal mode. You find that one of the disadvantages of reading results off the plot is that it may be difficult to position the pointer at exact values.
The QCP provides quick access to a set of commonly needed results. To estimate the MTTF, you select to calculate the Mean Life and use the Units drop-down list to make sure that the results will be returned in hours. You click Calculate. The average time to failure for the bulbs is about hours. To hide or display this log on your computer, click the Options button and then toggle the Show Calculation Log option. After putting in the appropriate requests, you are allocated 15 bulbs for testing purposes and have approval to use the lab facilities for a maximum of 40 days.
Unfortunately, only five pieces of equipment that are capable of detecting bulb failures are available for you to use. Given this constraint, you decide to test 5 bulbs using the available automated equipment and test the remaining 10 bulbs via manual inspection. You stop by the lab on your way to your office every morning at am except on weekends and holidays to check the status of the 10 bulbs. When you find that one of the bulbs has failed, the only information you have is that it failed sometime after you last checked on the bulbs the last inspection and before now the current inspection.
This information is called interval censored data. Censored Data : Censored data means data with missing information. When a unit has failed between observations and the exact time to failure is unknown, the time intervals in which the failures occurred are referred to as interval censored data.
On the other hand, for non-failed units that continue to operate after the observation period has ended, the observed operating times of the units are referred to as right censored data or suspensions. To answer the questions of interest, you will perform life data analysis on the censored data set that you obtained from both parts of the in-house test automated equipment and manual inspection.
When prompted to specify the data type, you select Times-to-failure data and the following check boxes:. Once the folio is created, you enter the data obtained from both parts of the test in the data sheet. On the control panel, you choose the 2P-Weibull distribution and the MLE parameter estimation method.
The resulting data sheet is shown next. This is because the MLE method is based on the likelihood function, which considers the time-to-suspension data points in the estimate of the parameters, whereas in rank regression RRX and RRY the solution is based on the plotting positions of the times-to-failure data.
Next, you click Calculate to analyze the data set, and then click Plot to create a probability plot. On the control panel of the plot sheet, you use the Plot Type drop-down list to choose the Failure Rate vs.
Time plot. This displays the failure rate behavior of the bulbs over time. The plot shows an increasing failure rate. Discover what's new in ReliaSoft Understand the effects of stresses on product life Analyze accelerated life test data with up to 8 simultaneous stress types, where stress is constant or varies with time.
Lower development costs with improved designs Evaluate your product performance using reliability metrics and analyses. Improve your initial designs based on accelerated life testing data in a variety of available formats and stress models. Significantly reduce test time and produce more robust designs Predict long-term reliability metrics with minimal test time using life data from stress testing.
Provide clarity with enhanced reports and plots Quickly provide the results, plots and reports you need to support decisions with flexible tools and automation. See all functionality. View recorded webinar. Two versions to support how you analyze data obtained from quantitative accelerated life tests.
Reliability statistical concepts Reliability data types Reliability metrics. Weibull and life distribution analysis Degradation analysis Warranty analysis. Reliability data comparisons Reliability test design Stress-strength analysis. Reliability statistical concepts Reliability data types Reliability metrics Weibull and life distribution analysis Degradation analysis Warranty analysis Reliability data comparisons Reliability test design Stress-strength analysis.
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