Statistical Methods for Combining Information: Stryker Family of Vehicles Reliability Case Study

Steiner, Stefan H.; Dickinson, Rebecca M.; Freeman, Laura J.; Simpson, Bruce A.

doi:10.1080/00224065.2015.11918142

Cited by 9 publications

(1 citation statement)

References 12 publications

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“…Life cycle costing was a well-established method for the evaluation of alternative asset options and to produce a spend profile for an asset over its anticipated life-span, different aspects related to the failure costs within the LCCA was explored for the rail freight industry (Chile) (Parra, Crespo, Kristjanpoller, & Viveros, 2012). Both frequentist statistics and Bayesian inference techniques were employed by the parametric statistical models to combine information and contrasted to illustrate different statistical methods for combining information across multiple testing events for the Stryker family of vehicles (Steiner, Dickinson, Freeman, Simpson, & Wilson, 2015). There is fuzzy evaluation method etc in the railway vehicle operation.…”

Section: Introductionmentioning

confidence: 99%

The research on operational reliability evaluation of straddle-type monorail vehicle

Zhou

Yang

et al. 2018

Systems Science & Control Engineering

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In order to master the main malfunction and the law of occurrence of the vehicle which affects the operational reliability of the Straddle-Type Monorail traffic, this paper, based on the structural characteristics of monorail vehicle system and the statistical data of vehicle operational malfunction, uses the analysis method of system reliability engineering to study and determine the key factors that affect the operational reliability of monorail vehicle. Then, the operational reliability evaluation index system of monorail vehicle is established based on the influencing factors. Finally, the AHP (Analytic Hierarchy Process) method is used to determine the weights of each index, and the fuzzy comprehensive evaluation method is used to evaluate the operational reliability of monorail vehicle synthetically. The evaluation results have some guidance on the development of more effective maintenance strategies for monorail vehicle maintenance departments.

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Section: Introductionmentioning

confidence: 99%

The research on operational reliability evaluation of straddle-type monorail vehicle

Zhou

Yang

et al. 2018

Systems Science & Control Engineering

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Testing Defense Systems

Freeman¹,

Johnson²,

Avery³

et al. 2018

Analytic Methods in Systems and Software Testing

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Combining binomial test data via two‐stage solutions

Myhre¹,

Jeske

et al. 2017

Appl Stoch Models Bus & Ind

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A commonly occurring problem in reliability testing is how to combine pass/fail test data that is collected from disparate environments. We have worked with colleagues in aerospace engineering for a number of years where two types of test environments in use are ground tests and flight tests. Ground tests are less expensive and consequently more numerous. Flight tests are much less frequent, but directly reflect the actual usage environment. We discuss a relatively simple combining approach that realizes the benefit of a larger sample size by using ground test data, but at the same time accounts for the difference between the two environments. We compare our solution with what look like more sophisticated approaches to the problem in order to calibrate its limitations. Overall, we find that our proposed solution is robust to its inherent assumptions, which explains its usefulness in practice.

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Statistical Methods for Combining Information: Stryker Family of Vehicles Reliability Case Study

Cited by 9 publications

References 12 publications

The research on operational reliability evaluation of straddle-type monorail vehicle

The research on operational reliability evaluation of straddle-type monorail vehicle

Testing Defense Systems

Combining binomial test data via two‐stage solutions

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