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Reliability Analysis
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Live Course - JMP®: Reliability Analysis for Non-Repairable Systems - May 1 - 4 | 1:00 - 4:30 p.m. ET
Monday, May 1, 2023
This course is for anyone who needs to analyze data, using JMP, about how long an object (reliability) or person (survival) operates within acceptable parameters ("time to event"). The course is presented using manufacturing examples, but those interested in survival analysis or studying recidivism will also find the course useful. Learn how to: Distinguish unique characteristics of life data. Compute non-parametric (Kaplan-Meier product-limit) estimates of failure probability. Fit distribution models specific to life data. Estimate reliability or survival measures and hazard. Estimate survival in the presence of competing causes. Use parametric survival models to estimate effects of covariates or experimental factors. Design an accelerated life test. Duration: 4 half-day sessions Registration Fee: $400 US Learn more, and register, at JMP®: Reliability Analysis for Non-Repairable Systems.
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JMP Education Course
Reliability Analysis
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JMP Academic Webinar – Teaching Survival and Reliability Analysis with JMP
Wednesday, February 21, 2024
Webinar Overview Analysis of time-to-event data – often called survival or reliability analysis – is commonly taught in biostatistics, reliability engineering, and other domains. JMP’s suite of survival and reliability tools support comprehensive teaching of key concepts and techniques in this domain, including survival and hazard functions, censoring, Kaplan-Meier analysis, parametric survival modeling, and more. This webinar provides a tutorial on JMP tools for teaching these concepts and techniques, as as well as a brief review of JMP tools for more specialized reliability analyses common in industry, such as accelerated life testing. We also point you to relevant free teaching resources from the JMP Academic team. Helpful Links Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars JMP for academics: www.jmp.com/academic Free teaching materials: www.jmp.com/teach JMP for students: www.jmp.com/student Timestamps 0:00 Introduction 4:28 Kaplan-Meier Analysis 14:17 Proportional Hazards Models 26:30 Estimating Time-to-Event Distributions 36:55 Left and Interval Censoring 40:40 Parametric Survival Models 47:40 Accelerated Life Testing 53:41 Degradation Analysis 56:28 Teaching Resources
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Academic Webinar
Advanced Statistical Modeling
English
Reliability Analysis
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Live Course - JMP®: Reliability Analysis for Non-Repairable Systems - March 19 - 22 | 1:00 - 4:30 p.m. ET
Tuesday, March 19, 2024
4 Day Course Tuesday, March 19 | 1:00 p.m. - 4:30 p.m. ET Wednesday, March 20 | 1:00 p.m. - 4:30 p.m. ET Thursday, March 21 | 1:00 p.m. - 4:30 p.m. ET Friday, March 22 | 1:00 p.m. - 4:30 p.m. ET This course is for anyone who needs to analyze data, using JMP, about how long an object (reliability) or person (survival) operates within acceptable parameters ("time to event"). The course is presented using manufacturing examples, but those interested in survival analysis or studying recidivism will also find the course useful. Learn how to: Distinguish unique characteristics of life data. Compute non-parametric (Kaplan-Meier product-limit) estimates of failure probability. Fit distribution models specific to life data. Estimate reliability or survival measures and hazard. Estimate survival in the presence of competing causes. Use parametric survival models to estimate effects of covariates or experimental factors. Design an accelerated life test. Duration: 4 half-day sessions Registration Fee: $400 US Learn more, and register, at JMP®: Reliability Analysis for Non-Repairable Systems.
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English
JMP Education Course
Reliability Analysis
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Developer Tutorial: Constant Stress Accelerated Life Testing
Thursday, May 2, 2024
This webinar is in English, 11:00 a.m. US Eastern Time. This session is for JMP users who need to evaluate product reliability for parts that need to perform for long periods and can’t afford to wait for failures to occur at their normal rate. The new JMP 18 Constant Stress Accelerated Lifetime Testing (Constant Stress ALT) special-purpose DOE capability lets you create and evaluate multi-factor designs for up to 3 acceleration factors and then use a JMP script to launch the Fit Life by X model after the data is collected. The interface is easy to use to interactively identify factors and test conditions, specify planning values for the underlying acceleration model and automatically create three test plans: Optimal, Compromise, and Balanced. JMP summarizes the modeling and design information for the Test Plans and gives Design Diagnostics for each plan. Diagnostics include statistics as well as three Profilers: Distribution, R-Precision Factor , and Model Sensitivity to help you choose your design(s) before creating the design with a simple button click. One of the key JMP Developers will demonstrate and explain the capability. The session includes time for Q&A.
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English
Mastering JMP
Reliability Analysis
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Analyzing Reliability for Non-Repairable Systems
Friday, May 10, 2024
This webinar is in English, 2:00 p.m. US Eastern Time. Learn how to use JMP to identify vulnerabilities and make reliability lifetime predictions on your products and components. See how to analyze non-repairable systems, including fitting life distributions, accelerated life testing and degradation analysis. This webinar covers: fitting life distributions for non-repairable systems including Fit Life by X, Life Distribution, accelerated life testing and degradation analysis.
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English
Mastering JMP
Reliability Analysis
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Analyzing Reliability for Repairable Systems
Thursday, June 13, 2024
This webinar is in English, 2:00 p.m. US Eastern Time. Learn how to pinpoint defects in materials or processes and identify design vulnerabilities so you can understand the best way to correct them. See how to use JMP to estimate downtimes and identify key components that govern downtime for repairable components and systems. See how to compare the reliability of one design versus another to determine if changes improve product performance. This webinar covers: analysis of repairable systems, including measuring event recurrence and modeling reliability growth.
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English
Mastering JMP
Reliability Analysis
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