A Review of Accelerated Test Models

Escobar, Luis A.; Meeker, William Q.

doi:10.1214/088342306000000321

Cited by 589 publications

(312 citation statements)

References 39 publications

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“…Remaining useful life (RUL) is defined as the time when equipment performance degrades to the failure threshold for the first time, or the first arrival time [7]. If the RUL can be predicted accurately, predictive maintenance of the equipment can be implemented.…”

Section: Remaining Useful Life (Rul) Prognostics Methodologiesmentioning

confidence: 99%

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Guan

2016

Applied Sciences

158

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Lithium-ion batteries are the primary power source in electric vehicles, and the prognosis of their remaining useful life is vital for ensuring the safety, stability, and long lifetime of electric vehicles. Accurately establishing a mechanism model of a vehicle lithium-ion battery involves a complex electrochemical process. Remaining useful life (RUL) prognostics based on data-driven methods has become a focus of research. Current research on data-driven methodologies is summarized in this paper. By analyzing the problems of vehicle lithium-ion batteries in practical applications, the problems that need to be solved in the future are identified.

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Section: Remaining Useful Life (Rul) Prognostics Methodologiesmentioning

confidence: 99%

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Guan

2016

Applied Sciences

158

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“…For simplicity, the product is exposed to only a high temperature. Acceleration model of thermal dwell follows Arrhenius model [14] …”

Section: Calculation Of Af For Each Sensitive Stressmentioning

confidence: 99%

Method to determine test profile in accelerated reliability demonstration test under Type-I censoring

Li¹,

Li²,

Dang³

2017

Vib. proced.

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Abstract. Conventional reliability demonstration test (RDT) based on statistical method is widely used in industry as it is simple and convenient to apply. But for products with high reliability and long life, this test method fails to satisfy the demand for short cycle and low cost, and is liable to cause the phenomenon of over-test and short-test. This paper gives a method to determine the accelerated stress profile for RDT under multiple stresses and mechanisms, making it faster to make decision of accept or reject. By raising the levels of sensitive stresses that the product would experience, the test time can be cut down remarkably. We can derive the overall acceleration factor based on the narrow reliability bounds theory. Then we choose the test plan referring to GJB 899A. Furthermore, combined with the reliability qualification test (RQT) profile, the accelerated test profile is acquired. An example is given to illustrate the superior performance of the proposed method over traditional methods.

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“…The inverse power relationship is widely used to model life as a function of pressure-like accelerating variables (e.g., stress, pressure, voltage stress). This relationship is generally considered to be an empirical model because it has no formal basis from knowledge of the physics or chemistry of the modeled failure modes [11]. Thus the AF for the front axle assembly which is involved in gear loading and speed is: § and Rev field is the speed in normal condition gathered from the field data (rpm).…”

Section: Af and Accelerated Test Timementioning

confidence: 99%

Accelerated Life Test Design for Tractor Powertrain Front Axle

2016

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Abstract. Accelerated Life Test (ALT) has been applied in the manufacturing for many years due to rapid changing technologies, more complex products, speedier product development, and more demanding customer requirements. These reasons have pushed the manufacturers to acquire reliability information faster. ALT allows reducing the time needed to show the reliability of the product. The purpose of this study is to design accelerated life testing which involved determination of normal test time, acceleration factor, acceleration test time, and finally experimental setup. This case study provides the basis for ALT designs for the tractor front axle based on customer usage and field failure analysis, which were conducted to estimate the current reliability, especially on the B10 life during the operational stage of the product. The accelerated life test conducted has guaranteed the B10 life of 4,000 hours with 90% confidence level for lesser time needed for testing to show the reliability of the front axle assembly.

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A Review of Accelerated Test Models

Cited by 589 publications

References 39 publications

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Method to determine test profile in accelerated reliability demonstration test under Type-I censoring

Accelerated Life Test Design for Tractor Powertrain Front Axle

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