China
Africa
Explore chapters and articles related to this topic
Product Manufacturing Degradation Control
Published in Douglas Brauer, John Cesarone, Total Manufacturing Assurance, 2022
The FMECA is initiated early in the conceptual phase to support the evaluation of candidate designs and to provide a basis for establishing corrective action priorities. The analysis plays a key role in design reviews from concept through final hardware development and, ultimately, technology transfer. In addition to the obvious benefits the FMECA provides to actual hardware design, the FMECA aids in defining special test considerations, quality inspection points, preventive maintenance actions, operational constraints, useful-life factors, and other pertinent information and activities necessary to minimize failure risk. Note that all recommended actions resulting from the FMECA should be evaluated and formally dispositioned by appropriate implementation or documented rationale for no action.
Reliability-Centered Asset Management Method
Published in Lina Bertling Tjernberg, Infrastructure Asset Management with Power System Applications, 2018
The FMEA classifies each potential failure according to the severity of the mission success and personnel/equipment safety [39]. The FMEA could be extended with a criticality analysis (CA). The CA will provide the estimates of system critical failure rates based on past history and current information. The resulting FMECA (failure mode, effects, and criticality analysis) is a reliability evaluation and design technique that examines the potential failure modes within a system in order to determine the effects of the overall system and the equipment within the system [39]. The FMECA should be initiated as soon as preliminary design information is available [39]. The FMECA is a living document that is not only beneficial when used in the design phase but also during system use. As more information on the system is available, the analysis should be updated in order to provide the most benefit.
Design for Reliability
Published in Michael Pecht, Handbook of Electronic Package Design, 2018
A failure mode, effects, and criticality analysis (FMECA) is an evaluation process for analyzing and assessing the potential failures in a system or equipment design. The objective is to determine the effect of failures on system operation, identify the failures critical to operational success and personnel safety, and rank each potential failure according to the effects on other portions of the system, the probability of the failure occurring, and the criticality of the failure mode [36].
Survey on reliability analysis of dynamic positioning systems
Published in Ships and Offshore Structures, 2023
Fang Wang, Liang Zhao, Yong Bai
Traditionally, the risk analysis, assurance, and management activities pertaining to Dynamic Positioning (DP) vessels in marine operations have been conducted in a qualitative manner. The predominant method employed for risk analysis of DP systems entails two key steps. Firstly, a Failure Mode and Effect Analysis (FMEA) is performed, coupled with a criticality ranking known as FMECA (Failure Mode, Effects, and Criticality Analysis). This process aims to provide substantiating evidence of the redundancy of the DP system. Secondly, verification tests, commonly referred to as sea trials, are conducted on a selected subset of subsystems that have been analysed in the FMEA (DNV-GL 2016; Rausand 2011). Additional methods commonly utilised for risk analysis in this domain include Hazard Identification (HAZID) and Hazard and Operability Analysis (HAZOP). Furthermore, Hardware-in-Loop (HIL) testing of DP control software has been employed (Johansen et al. 2005). Additionally, training and certification programmes for key personnel contribute to the effectiveness of risk mitigation activities. Collectively, these approaches are regarded as effective measures to minimise technical system failures and enhance the reliability of human and operational barriers against DP incidents.
Generation of disassembly plans and quality assessment based on CAD data
Published in International Journal of Computer Integrated Manufacturing, 2020
Belhadj Imen, Hammadi Moncef, Trigui Moez, Aifaoui Nizar
The FMECA technique is a commonly known method for the study of the reliability of a design or a process. The FMECA is a bottom-up method to identify and investigate all possible failure modes of the various system components, as well as the effects produced by failures and adequate solutions. This method quantifies important design parameters, identifies critical elements and defines intervention priorities. The FMECA method uses three fundamental parameters that are evaluated through the FMECA team: Gravity (G) that specifies the severity of the effects of a failure mode. In the case of DP, G concerns the difficulty degree to execute a DO.Frequency (F) that indicates the probability of a failure occurring. In the case of DP, F represents the occurrence of tool and direction change of the DO comparing to the previous one.Detection (D) that measures a failure visibility. In the case of DP, D concerns the existence of wear part in the DO and the difficulty degree of its accessibility.
Reliability assessment of ageing infrastructures: an interdisciplinary methodology
Published in Structure and Infrastructure Engineering, 2020
Andreas Panenka, François Marie Nyobeu Fangue, Rolf Rabe, Heike Schmidt-Bäumler, Julia Sorgatz
The FMECA is an inductive method, which supports the determination and mitigation of potential risk scenarios arising from technical items (i.e. products, systems or processes). After defining the relevant components (i.e. functional units required for the overall functionality of the assessed item) and their hierarchical organisation, the corresponding cause–effect chains leading to system failure are identified. Failure is defined as non-compliance with a specified requirement. Each cause–effect chain consists of a potential failure mode, its consequences and respective causes. Following the hierarchical organisation of the components, the failure consequence at a certain hierarchy level may be regarded as the failure cause at the next higher level. In a subsequent criticality assessment, the cause–effect chains are prioritised for mitigation measures based on their risk priority number (RPN). The RPN is determined by three or more risk criteria, which assess the severity of the impact of a failure sequence on achieving a predefined objective (e.g. customer satisfaction, reliance on a product, etc.), the occurrence of the corresponding failure cause and the chance to avert the impact of the failure mode (Figure 8). The risk criteria may be evaluated by assessing information derived from expert interviews or by analysing quantitative data obtained from QA/QC-procedures. (Stamatis, 2003)