Synthetic Safety Analysis: A Systematic Approach in Combination of Fault Tree Analysis and Fuzzy Failure Modes and Effect Analysis

Author(s):  
Guannan Su ◽  
Linpeng Huang ◽  
Xiaoyu Fu
Author(s):  
Sofia K. Georgiadis

Fault Tree Analysis (FTA) is one of the key safety evaluation techniques used by New York City Transit (NYCT). First developed over 50 years ago, this technique continues to provide valuable insight for failure analysis of systems. Its use is widespread in safety-critical systems analysis across industry boundaries, including defense, nuclear, aerospace, chemical [1], and transportation industries. FTAs provide a systematic, top-down methodology to safety analysis. As such, it complements other safety analysis techniques, such as Failure Modes Effect Analysis (FMEA), which is a bottom-up failure analysis [2]. Formal Methods analyses, including Theorem Proving and Model Checking, are powerful development and analysis methodologies, both used by NYCT, that provide assurance of product’s correctness and safety. With these other safety analysis techniques, the FTA continues to play a key role in the NYCT Safety Program. This paper will examine how NYCT uses FTAs for the safety analysis of microprocessor-based signaling systems. FTAs are used by NYCT throughout the system lifecycle. Initially, during the system development phase, NYCT requires system suppliers to develop Fault Tree Analyses of their systems, as a requirement for NYCT safety certification and deployment. For the system maintenance phase, NYCT uses the outputs of suppliers’ analyses to develop and enforce maintenance and operational procedures. In this manner, NYCT’s use of FTA provides full lifecycle value by providing design, maintenance, and operational insight into the causes of hazardous events. Through the examination of example fault trees and an overview of the FTA process, this paper will present the NYCT’s implementation of this powerful analysis tool, and will describe the benefits gained from using this methodology.


2020 ◽  
Vol 2 (1) ◽  
pp. 48
Author(s):  
Sofian Bastuti

PT. Berkah Mirza Insani yang bergerak dibidang pengolahan gas alam menjadi Compressed Natural Gas (CNG) dalam setiap pekerjaan nya selalu mengutamakan Keselamatan dan Kesehatan Kerja (K3) . Penelitian ini mengaplikasikan metode Failure Mode and Effect Analysis (FMEA) didapat RPN tertinggi atau di divisi produksi yang mencakup 8 pekerjaan adalah pada Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) dengan nilai severity 5, occurence 3, detection 4 dan RPN 60. Sedangkan Fault Tree Analysis (FTA) didapat faktor penyebab tingkat risiko tertinggi yaitu Proses dan langkah pensupplyan CNG ke costumer (operasional PRS) saat unloading dan operasional CNG dengan potensi bahaya ledakan Pressure Regulator System (PRS).


2018 ◽  
Vol 218 ◽  
pp. 04006
Author(s):  
Natalia Hartono ◽  
Andry M Panjaitan ◽  
Abram Noel

Nowadays, shoes are not just a casual footwear. Certain shoes can tell the social class of a person. The increase of shoe prices and social status of wearing expensive shoes became a trigger for the development of shoe laundry services. There were a service quality problems in a shoe laundry in Tangerang, Indonesia. Several methods to improve service quality was studied and it is decided to propose a new model, which is integration model of Service Blueprint, Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The research starts with identifying the problem with observation and interview, then build Service Blueprint. Based on the fail point that has been identified in Service Blueprint, the FMEA used to find which process is the most dominant cause of failure and the most urgent for improvement. The next step is using FTA to find the root cause of the failure of the dominant cause. After analyzing the FTA, the improvement was proposed and implemented. Service failure before and after implementation was compared to see the improvements. There are 6 suggestion and implemented. After the implementation, the error in each process was measured and it is found a decrease in error in each process.


2018 ◽  
Vol 233 ◽  
pp. 00002 ◽  
Author(s):  
Federica Bonfante ◽  
Matteo D. L. Dalla Vedova ◽  
Paolo Maggiore

This paper is on the Failure Modes and Effects and Criticality Analysis and Fault Tree Analysis methodologies applied to the equipment and functional subsystems of Remotely Piloted Aircraft Systems (RPAS). Such aerial vehicles have been used almost exclusively for military purposes until the first decade of the 2000s. The debate then was focused both on technical and regulatory issues and research activities. Thanks to this renewed interest on unmanned systems and thanks to relatively recent improvements in information science, telecommunication, electronics and material science a strong awareness on the potential extension of unmanned technologies to civil applications arose up. A variety of economic benefits has been recognized by the aviation community from the civil use of RPAS, but, due to the absence of the pilot on board both military and civilian RPAS have always been relegated to fly into segregated airspaces. Technical potentialities of RPAS will be fully exploited integrating them into controlled airspaces in a reliable and safe way. This paper shows an example of application of FMECA and FTA to RPAS and discuss the most critical issues related to the performed analyses as well as possible future developments of this work.


2007 ◽  
Vol 21 (2-3) ◽  
pp. 287-298 ◽  
Author(s):  
Jan Åslund ◽  
Jonas Biteus ◽  
Erik Frisk ◽  
Mattias Krysander ◽  
Lars Nielsen

Pomorstvo ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 275-286
Author(s):  
Samson Nitonye ◽  
Sidum Adumene ◽  
Charles Ugochukwu Orji ◽  
Anietie Effiong Udo

For an effective integrity assessment of marine robotic in offshore environments, the elements’ failure characteristics need to be understood. A structured probabilistic methodology is proposed for the operational failure assessment (OFA) characteristics of ROV. The first step is to assess the likely failure mode of the ROV system and its support systems. This captures the interaction and failure induced events during operation. The identified potential failure modes are further developed into logical connectivity based on the cause-effect relationship. The logical framework is modeled using the fault tree analysis technique to predict the ROV operational failure probability in an uncertain harsh environment. The fault tree analysis captured the logical relationship between the primary, intermediate, and top events probability. The importance measure criteria were adopted to identify the most probable events, links, and their importance on the failure propagation. The model was demonstrated with an ROV for deep arctic water subsea operations. The result identified the control system, communication linkages, human factor, among others, as most critical in the ROV operational failure. The methodology’s application provides core information on the Mean time between failure (MTBF) of the ROV system that could aid integrity management and provides a guide on early remedial action against total failure.


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