Reliability testing. Compliance tests for constant failure rate and constant failure intensity

1997 ◽  
2013 ◽  
Vol 10 (6) ◽  
pp. 577-584
Author(s):  
S. Beleulmi ◽  
A. Bellaouar ◽  
M. Lachi

The lack of reliability testing in a project finds its reason in financial considerations and deadlines. In this context, Bayesian techniques find their applications as they contribute to a significant reduction in the amount of reliability testing based on the classical approach, with the knowledge of the reliability data on a priori relevant components. This paper is devoted to a Bayesian approach to the optimization reliability costs of tests conducted on the electronic components installed in a lift. The Bayesian estimation provides a failure rate of 1,795·10-6 failure/hr to 60% confidence instead of 2,771·10-6 failure / hr after testing. A gain of 64, 77% in terms of time and therefore the cost of testing will be reduced considerably. When the number of failures increases (K0 = 2; 3 and 5), the real tests are not added to virtual testing and a decrease in time to be won has been recorded.


2017 ◽  
Vol 2 (4) ◽  
pp. 199-206
Author(s):  
Mourad CHEBILA ◽  
Fares INNAL

Dependability of multi-component systems is highly impacted by common cause failures, what necessitates the appropriate consideration of such events in the dependability modeling process. This paper is dedicated to study the application of the binomial failure rate model in handling the contribution of common cause failures to estimate two key dependability indicators, namely: unavailability and unconditional failure intensity, using fault tree analysis with the probabilistic treatment of the associated parameter uncertainty. The results of such application are thoroughly compared to those of the traditional Beta factor model to highlight the possible differences.


Author(s):  
Ary Sutrischastini ◽  
Ratna Setyani

This research goal is to identification and evaluation influence of work motivation and work environment to employee’s performance in BAPPEDA Kabupaten Wonosobo. The object of this research is 37 employees of Badan Perencanaan Pembangunan Kabupaten Wonosobo. And the location of this research is at Badan Perencanaan Pembangunan Kabupaten Wonosobo. The analysis used is test validity, reliability testing, and test the hypothesis, with the help of the computer program SPSS version 17, using multiple linear regression analysis. Based on calculations of data and analysis used, the regression equation is obtained: Y = 11.733 + 0.320 X1 +0.334 X2 + ε, by using the equation regression analytical method can conclude that (X1) take effect positively against employees performance. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33. By applying significance limited value in amount of 0,05, it means, hypothesis that claim if work motivation take effect against employees performance can be accepted. There is a positive and significant correlation between work environment variables (X2) against employees. With t value in amount of 2,219 (bigger than t in table in amount of 1,690) and significance value in amount of 0,33 (smaller than 0,5). Simultaneously, work motivation take effect positively and significantly against employees performance with the F value in amount of 11,562 (bigger than 0.05), then obtained significance value 0.000. It can be concluded that the work motivation and work environment has a positive and significant influence on employee performance in BAPPEDA Kabupaten Wonosobo.


2012 ◽  
Vol 18 (69) ◽  
pp. 237
Author(s):  
فاتن فاروق البدري ◽  
علا علي فرج

تهدف دراسة التوزيعات الإحصائية إلى الحصول على التوصيفات الأفضل لمجموعة المتغيرات والظواهر والتي كل منها يمكن أن يسلك سلوك واحد من هذه التوزيعات. وتعد دراسة عمليات التقدير لمعلمات هذه  التوزيعات من الأمور المهمة والتي لا غنى عنها في دراسة سلوك هذه المتغيرات ونتيجة لذلك جاء هذا البحث محاولة للوصول إلى أفضل طريقة تقدير معلمات توزيع هو واحد من أهم التوزيعات الإحصائية وهو التوزيع الخطي العام لمعدلات الفشل، (Generalized Linear Failure Rate Distribution) وذلك من خلال دراسة الجوانب النظرية بالاعتماد على طرق الاستدلال الإحصائي مثل طريقة الإمكان الأعظم وطريقة المربعات الصغرى وبالإضافة إلى الطريقة المختلطة(طريقة مقترحة) . وتضمن البحث إجراء المقارنات بين طرائق التقدير الثلاثة لمعلمات التوزيع الخطي العام لمعدلات الفشل (GLFRD)، بالاعتماد على مقياسين إحصائيين مهمين هما متوسط مربعات الخطأ (MSE)، ومتوسط الخطأ النسبي المطلق (MAPE)، للحصول على طريقة التقدير الأفضل.


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