Reliability Verification, Testing, and Analysis in by Gary Wasserman

By Gary Wasserman

Awesome a stability among using computer-aided engineering practices and classical existence checking out, this reference expounds on present concept and strategies for designing reliability checks and reading resultant facts via a number of examples utilizing Microsoft[registered] Excel, MINITAB, WinSMITH, and ReliaSoft software program throughout a number of industries. The booklet discusses glossy layout reliability rules, options, and phrases, functions of Microsoft[registered] Excel software Solver and target search nonlinear seek systems for constructing Fisher matrices and chance ratio self belief durations, and desk iteration on median ranks, beta-binomial bounds, and conventional percents.

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Extra resources for Reliability Verification, Testing, and Analysis in Engineering Design (Mechanical Engineering (Marcell Dekker))

Sample text

These failure-rate models are based on the best field data Copyright © 2002 Marcel Dekker, Inc. accumulated for a wide variety of parts and systems; this data is then analyzed and manipulated, with many simplifying assumptions thrown in, to create usable models. For each part in the handbook, a base reliability estimate in failures=hr is provided along with a collection of factors (Pi ) used to adjust the reliability estimate to account for the effect of elevated or reduced stress levels on product life.

Develop a failure reporting, analysis, and corrective action program (FRACAS) to help understand failure mechanisms and root causes. Take steps to correct the problem. Identify an engineered solution to eradicate the root causes of the reliability problem. Implement the process change. Implement any design or procedural changes required to prevent any problem(s) from recurring. Verify that the change was successful. Standardize the change, so that change is permanent. Make sure that the FMEA and all CAE databases are updated.

Collect warranty data. Perform a Pareto analysis of your top problems in the field. Contain the current problem(s). Implement temporary measures such as increased source inspection, etc. to halt shipment of defective product to the customer. Use basic problem-solving tools to identify root causes. In addition to using basic quality improvement tools, there may be a need for using designed experiments (and Taguchi methods) to understand complex relationships involving a multitude of variables. Develop a failure reporting, analysis, and corrective action program (FRACAS) to help understand failure mechanisms and root causes.

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