An overview of environmental reliability testing

Caruso, Hank

doi:10.1109/rams.1996.500649

Cited by 16 publications

(4 citation statements)

References 2 publications

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“…using the root mean square values, of the two environments and also on some empirical or semi-empirical constants, which are determined from either the previous design or usage experience. A widely employed inverse power law in the aerospace industry to correlate the laboratory tests to the real service life is as follows [12]- [14]:…”

Section: Introductionmentioning

confidence: 99%

On the inverse power laws for accelerated random fatigue testing

Allegri

Zhang

2008

International Journal of Fatigue

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This paper addresses the usage of inverse power laws in accelerated fatigue testing under wide-band Gaussian random loading. The aim is not at predicting an absolute value of fatigue life but assessing the fatigue damage relative accumulation. The widely accepted inverse power scaling laws in fatigue damage assessment is discussed, reviewing the engineering standards and pointing out their inherent limitations. A physically consistent general scaling law is obtained by rigorous mathematical analysis in the framework of random vibration theory and the rules of safe-life fatigue analysis. Simplifications of the general scaling rule are presented, highlighting conditions under which the current standard practice could provide a correct an acceptable estimation of the relative fatigue damage accumulation.Key words: fatigue, inverse power law, random loading, cycle counting, accelerated testing Nomenclature T r -fatigue life in the operative environment;T s -fatigue life in the testing condition; g -acceleration root mean square value (RMS); g r -acceleration RMS in the operative environment;

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Section: Introductionmentioning

confidence: 99%

On the inverse power laws for accelerated random fatigue testing

Allegri

Zhang

2008

International Journal of Fatigue

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“…The application of the stresses has proved to precipitate latent design errors of electronic equipment into failures. Voltage stress, power on-off, temperature, and vibration are prime environments affecting the reliability of equipment [1,2]. Electrical stress, thermal shock with high ramp rate, vibration, and other combined environmental tests are used for improving the robustness of products and the stress levels for the tests are beyond the specified limits [3].…”

Section: Reliability Improvement Testsmentioning

confidence: 99%

Reliability Evaluation of Equipment

Natarajan¹

2014

Reliable Design of Electronic Equipment

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The proto-models of electronic equipment are subjected to electrical and environmental tests as per the contractual specification of the equipment. The tests are not adequate for providing high level of confidence in the reliability of equipment. An integrated test program is designed for evaluating electrical and environmental performance and the reliability of equipment. Reliability improvement tests are superimposed with the electrical and environmental tests to the extent feasible in the integrated test program. Subjecting proto-models to the integrated test program is defined as the reliability evaluation of equipment. Performance trend analysis, random vibration, thermal shock, and accelerated burn-in are the reliability improvement tests that are explained with examples. The pre-requisites that should be satisfied for ensuring the effectiveness of reliability evaluation program are listed. Definition of Reliability EvaluationThe proto-models of electronic equipment are subjected to electrical and environmental tests as per the contractual specification of the equipment. The tests are adequate for verifying or demonstrating compliance to the specifications, but they are not adequate for providing high level of confidence in the reliability of the equipment. An integrated test program is designed for evaluating electrical performance, environmental performance, and the reliability of equipment. Reliability improvement tests are superimposed with the electrical and environmental tests to the extent feasible in the integrated test program. Subjecting the proto-models of equipment to the integrated test program is defined as the reliability evaluation of equipment. The test program complements the overstress analyses on the protomodels. Reliability evaluation should not be misconstrued as Mean Time Between Failures (MTBF) evaluation of equipment.

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“…A useful overview of environmental testing and screening is provided by Caruso [38], who draws attention to ESS having moved from being a userserving or user-imposed process to being employed by the manufacturer for production quality control and improvement purposes. Customers should therefore keep in mind that the ESS stress types, levels and duration routinely employed by the manufacturer are not necessarily optimum for the purposes of the equipment user.…”

Section: Environmental Stress Screening (Ess)mentioning

confidence: 99%

The challenge of quantitative reliability

Blanks¹

1998

Qual. Reliab. Engng. Int.

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After examining the need of the equipment/system user to receive, collect, analyse and supply quantitative reliability information, this paper discusses the methods, existing and potential, of satisfying this need. It does so against the background of the now widely acknowledged inaccuracy of traditional methods of reliability prediction, the recognition that the conventional failure‐rate bathtub curve is an oversimplification and the difficulty of gathering adequate test and field failure data on increasingly high‐reliability product in an age of fast technology evolution and short new product lead‐time markets. There are three important tasks for the equipment user: (a) establishment of an efficient system of failure data collection and analysis; (b) utilization of these data in all business and organizational activities; (c) participation in the creation of an accurate method of reliability prediction by providing feedback of field reliability data to product manufacturers. © 1998 John Wiley & Sons, Ltd.

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An overview of environmental reliability testing

Cited by 16 publications

References 2 publications

On the inverse power laws for accelerated random fatigue testing

On the inverse power laws for accelerated random fatigue testing

Reliability Evaluation of Equipment

The challenge of quantitative reliability

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