FTA-Based Reliability Measurement of Test-Bed System

2013 ◽  
Vol 791-793 ◽  
pp. 922-925 ◽  
Author(s):  
Qi Lin ◽  
Yong Chen

The significance of reliability researches are described first. It is necessary to know concepts of reliability without a doubt, and most common measures of reliability are discussed, including reliability function and failure rate. It emphasizes two important analysis approaches: Failure Mode, Effects, and Criticality Analysis (FMECA) and Fault-Tree Analysis (FTA). Last, it provides the quantified result of reliability analysis of a test-bed system with FTA-based RiskA software as a case study, which shows the usefulness of FTA-based reliability measurement.

2013 ◽  
Vol 633 ◽  
pp. 312-321 ◽  
Author(s):  
Gradimir Ivanović ◽  
Radivoje Mitrovic ◽  
Dragan Jovanovic

Transport of ground and coal at the surface coal dig in Kostolac, Serbia, is done using transportation belts (3 - 5 kilometres in length) using the systems of BTR (Bagger-Transporter-Remover) and BTM (Bagger-Transporter-Mill). The transporter belt during circular movement is suspended on carry-rollers (during transport of weight) and on support-rollers (without weight). Two or three carry-rollers, or three support-rollers make a garland. Garlands (5 carry and 3 supporting) are built into a section and they enable the movement of belt over them. The number of sections depends on the transportation system length. Reliability of these systems is governed by the reliability of the carry and support rollers. In order to determine the reliability of the BTR and BTM systems, reliability analysis of both carry and support rollers was performed using the method of Fault Tree Analysis (FTA) and Reliability Block Diagrams (RBD). In this paper the assessment of roller reliability is described using the FTA method with failure elements. The reliability function was determined on the basis of the RBD in the case where all of the constructive elements of the rollers are in operation the complex relationship, and when some of the elements are in failure mode the quasi-complex relationship.


Author(s):  
Songyan Mai ◽  
Ji Zeng ◽  
Qi Feng ◽  
Renan Liu ◽  
Yan Chen

Abstract Ocean-going vessels sailing alone in the boundless sea often encounter various problems and pose a serious threat to the safety of the ship. According to statistic, many of these accidents are caused by problems such as aging equipment and lack of maintenance. After IMO issued mandatory regulations, China Classification Society (CCS) released Failure Mode and Impact Analysis Guide in 2017 (Guidance Notes GD16-2017), in connection with failure mode and impact analysis for ship equipment and systems. In this paper, based on a multi-purpose offshore carrier, the forward FTF (FMECA & FTA) method is adopted. The failure mode, effects and criticality analysis (FMECA) is conducted for the study on failure mode of ship system, including failure rate, cause and effect (probability and severity). Fault tree analysis (FTA) is to calculate and assess the risk of the ship system. Based on the forward FTF principle, Smart Captain, an operation and maintenance management system was developed for this ship. The system can identify the faults of the ship system and carry out different levels of alarms automatically, then a corresponding maintenance and operation instructions according to the equipment manual is given. By using Smart Captain, the crew member can carry out ship operation and maintenance efficiently safely.


2014 ◽  
Vol 543-547 ◽  
pp. 1091-1094
Author(s):  
Qi Lin ◽  
Yong Chen

Reliability is a research area of highly significance. It emphasizes an important analysis approach: Fault-Tree Analysis (FTA). Then a new method is proposed to collect authentic fault rate indexes, which is always the key of reliability analysis, based on technology readiness assessment (TRA). Last, it provides the quantified result of reliability analysis instance to show the usefulness of the approaches.


2016 ◽  
Vol 5 (2) ◽  
pp. 151
Author(s):  
Benedictus Rahardjo ◽  
Bernard Jiang

This study attempts to apply Failure Mode Effects and Criticality Analysis (FMECA) to improve the safety of production system, especially on the production process of an oil company in Indonesia. Since food processing is a worldwide issue and the self management of a food company is more important than relying on government regulations, so the purpose of this study is to identify and analyze the criticality of potential failure mode on the production process, then take corrective actions to minimize the probability of making the same failure mode and re-analyze its criticality. This corrective actions are compared with the before improvement condition by testing the significance of the difference between before and after improvement using two sample t-test. Final result that had been measured is Criticality Priority Number (CPN), which refers to severity category and probability of making the same failure mode. Recommended actions that proposed on the part of FMECA give less CPN significantly compare with before improvement, with increment by 48.33% on coconut cooking oil case study.


Author(s):  
Srikesh G. Arunajadai ◽  
Robert B. Stone ◽  
Irem Y. Tumer

Knowledge of potential failure modes during design is critical for prevention of failures. Currently industries use procedures such as Failure Modes and Effects Analysis (FMEA), Fault Tree analysis, or Failure Modes, Effects and Criticality analysis (FMECA), as well as knowledge and experience, to determine potential failure modes. When new products are being developed there is often a lack of sufficient knowledge of potential failure mode and/or a lack of sufficient experience to identify all failure modes. This gives rise to a situation in which engineers are unable to extract maximum benefits from the above procedures. In this work we report on a new failure identification scheme and integrate it with a function-based failure identification methodology, which would act as a storehouse of information and experience, providing useful information about the potential failure modes for the design under consideration, as well as enhancing the usefulness of procedures like FMEA. As an example, the method is applied to 41 products and the benefits are illustrated.


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