Failure analysis of machinery component by considering external factors and multiple failure modes – A case study in the processing industry

2012 ◽  
Vol 25 ◽  
pp. 182-192 ◽  
Author(s):  
Rosmaini Ahmad ◽  
Shahrul Kamaruddin ◽  
Ishak Abdul Azid ◽  
Indra Putra Almanar
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
External Factors ◽  
Multiple Failure Modes ◽  
Processing Industry

Failure Analysis Case Study of a 1.5 Meter Space Flex Harness

2017 ◽  
Author(s):  
Erick Kim ◽  
Kamjou Mansour ◽  
Gil Garteiz ◽  
Javeck Verdugo ◽  
Ryan Ross ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Field Of View ◽  
Area Of Interest ◽  
Air Stream ◽  
Novel Method ◽  
Temperature Controlled ◽  
Non Destructive ◽  
Failure Site

Abstract This paper presents the failure analysis on a 1.5m flex harness for a space flight instrument that exhibited two failure modes: global isolation resistances between all adjacent traces measured tens of milliohm and lower resistance on the order of 1 kiloohm was observed on several pins. It shows a novel method using a temperature controlled air stream while monitoring isolation resistance to identify a general area of interest of a low isolation resistance failure. The paper explains how isolation resistance measurements were taken and details the steps taken in both destructive and non-destructive analyses. In theory, infrared hotspot could have been completed along the length of the flex harness to locate the failure site. However, with a field of view of approximately 5 x 5 cm, this technique would have been time prohibitive.

Failures of Pipelines

2021 ◽  
pp. 531-556
Author(s):  
A. Hudgins ◽  
C. Roepke ◽  
B. James ◽  
B. Kondori ◽  
B. Whitley
Keyword(s):  
North America ◽  
Failure Analysis ◽  
Management Practices ◽  
Failure Modes ◽  
Degradation Mechanisms ◽  
Transmission Pipeline ◽  
Integrity Management ◽  
Pipeline Failure ◽  
Pipeline Failures

Abstract This article discusses the failure analysis of several steel transmission pipeline failures, describes the causes and characteristics of specific pipeline failure modes, and introduces pipeline failure prevention and integrity management practices and methodologies. In addition, it covers the use of transmission pipeline in North America, discusses the procedures in pipeline failure analysis investigation, and provides a brief background on the most commonly observed pipeline flaws and degradation mechanisms. A case study related to hydrogen cracking and a hard spot is also presented.

scholarly journals A Data-Driven Approach to Extend Failure Analysis: A Framework Development and a Case Study on a Hydroelectric Power Plant

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6400
Author(s):  
Sara Antomarioni ◽  
Marjorie Maria Bellinello ◽  
Maurizio Bevilacqua ◽  
Filippo Emanuele Ciarapica ◽  
Renan Favarão da Silva ◽  
...  
Keyword(s):  
Power Plant ◽  
Failure Analysis ◽  
Power Plants ◽  
Failure Modes ◽  
Real Life ◽  
Hydroelectric Power Plant ◽  
Data Driven ◽  
Hydroelectric Power ◽  
Data Driven Approach

Power plants are required to supply the electric demand efficiently, and appropriate failure analysis is necessary for ensuring their reliability. This paper proposes a framework to extend the failure analysis: indeed, the outcomes traditionally carried out through techniques such as the Failure Mode and Effects Analysis (FMEA) are elaborated through data-driven methods. In detail, the Association Rule Mining (ARM) is applied in order to define the relationships among failure modes and related characteristics that are likely to occur concurrently. The Social Network Analysis (SNA) is then used to represent and analyze these relationships. The main novelty of this work is represented by support in the maintenance management process based not only on the traditional failure analysis but also on a data-driven approach. Moreover, the visual representation of the results provides valuable support in terms of comprehension of the context to implement appropriate actions. The proposed approach is applied to the case study of a hydroelectric power plant, using real-life data.

A Comprehensive Review on Failure Analysis of Electrofusion Joint For Plastic Pipes

2021 ◽  
Author(s):  
Zhoutian Ge ◽  
Riwu Yao ◽  
Jianfeng Shi ◽  
Jinyang Zheng
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
External Factors ◽  
Pipeline System ◽  
Premature Failure ◽  
Comprehensive Review ◽  
Factors Affecting ◽  
Intrinsic Factors ◽  
Plastic Pipes ◽  
Load Conditions

Abstract Electrofusion joint plays an important role in connecting plastic pipes and composite pipes. The safety of electrofusion joint has been of major concern affecting the pipeline system. Existing researches reveal that the failure of electrofusion joints is influenced by intrinsic factors such as welding and installation qualities, and external factors such as various load conditions. The combination of these factors would result in different failure modes of electrofusion joints. This paper provided a comprehensive review of current publications on failure analysis of electrofusion joints focusing on both the intrinsic and external factors. The former summarized premature failure of joints caused by incorrect production procedure before service, while the latter addressed the relation between failure modes and load conditions. Key factors affecting the failure modes were subsequently listed. Ultimately, based on current researches and industry hotspots, prospects on the development of electrofusion joint were discussed.

The Rigorous Application of FMEA to a Wastewater Treatment Plant Aerator Drive: Understanding Requirements, Conditions, Limitations, and Success Factors

2009 ◽  
Author(s):  
Tomoki Tanaka ◽  
Daniel J. Rosseljong
Keyword(s):  
Wastewater Treatment ◽  
Success Factors ◽  
Failure Modes ◽  
Treatment Plant ◽  
Fault Tree Analysis ◽  
External Factors ◽  
Treatment Facility ◽  
Top Down ◽  
Tree Analysis

Any supplied gearbox performing below a user’s clearly defined expectations can be viewed as a failure. This case study involves consistent lubricant leakage starting almost immediately after installation. Through various field inspections, modifications and a factory rebuild, the problem was not resolved to the owner’s satisfaction until replaced by (2) new units. This paper documents the factual elements of an engineering evaluation of a gearbox removed from an aerator drive at a wastewater treatment facility, using FMEA [Failure Modes and Effects Analysis] over FTA [Fault Tree Analysis]. The gearbox supplier chose FMEA because it considers the importance of the gearbox components, weighting them to the application, where FTA is often a pure top-down analytical engineering approach without consideration for external factors. The gearbox supplier performed a detailed disassembly of the gearbox under controlled conditions and inspected each gearbox component to identify any faults in material or designs focusing on those that affect the user. The goal of this analysis is to provide a technical understanding of the cause(s) of failure, its consequences, and a means to correct any problems with the gearbox, real or perceived.

scholarly journals Unavailability Analysis fork-out-of-n:G Systems with Multiple Failure Modes Based on Micro-Markov Models

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Shengjin Tang ◽  
Xiaosong Guo ◽  
Xiaoyan Sun ◽  
Haijian Xue ◽  
Zhaofa Zhou
Keyword(s):  
Failure Modes ◽  
Markov Models ◽  
Repairable System ◽  
Failure Rates ◽  
Multiple Failure Modes ◽  
Numerical Examples ◽  
Integrity Verification ◽  
Repair Mechanisms ◽  
Redundant Systems

Markov models are commonly used for unavailability analysis of redundant systems. However, due to the exploding states of Markov models for redundant systems, the states need to be merged to simplify the computation, which is called micro-Markov models. However, how to derive the failure rates and repair rates of the newly developed micro-Markov models has not been studied thoroughly. Therefore, this paper proposes detailed explanations and rules to derive the static unavailability by the micro-Markov models for thek-out-of-n:G systems with multiple failure modes. Firstly, two properties about applying the Markov models to the repairable system with independent multiple failure modes are presented. Based on these two properties, two rules are proposed for implementing the micro-Markov models. The micro-Markov models provide the exact same results for the repairablek-out-of-n:G system with multiple independent failure modes and repair mechanisms and approximate results for systems with multiple hybrid failure modes. A case study of safety integrity verification for safety instrumented systems is provided to illustrate the application of the proposed method. The conceptual comparison and numerical examples demonstrate the reasonability and usefulness of the proposed micro-Markov models.

Commercial Walk-Behind Lawn Mower Failure Analysis Case Study

1999 ◽  
Author(s):  
Dennis B. Brickman
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Accident Prevention ◽  
Systematic Analysis ◽  
Testing Program ◽  
Random Event ◽  
Lawn Mower ◽  
Rotating Blade ◽  
Design Proposal

Abstract A failure modes and effects testing program was conducted to analyze the cause of a mid-size commercial walk-behind lawn mower accident in which the operator’s foot came in contact with the rotating blade. Systematic analysis showed that the accident was caused by improper mower service and operator misuse of the mower. Testing results reveal that an alternative design proposal does not preclude this random event. Accident prevention countermeasures are explored.

A Qualitative Failure Analysis Using Function-Based Performance State-Machines for Fault Identification and Propagation During Early Design Phases

2014 ◽  
Author(s):  
Charlie B. DeStefano ◽  
David C. Jensen
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Fault Identification ◽  
Manufacturing Processes ◽  
Analysis Method ◽  
Well Performance ◽  
Early Design ◽  
Analysis Methods ◽  
Potential Failure

In a time when major technological advancements are happening at incredible rates and where demands for next-generation systems are constantly growing, advancements in failure analysis methods must constantly be developed, as well. Performance and safety are always top concerns for high-risk complex systems, and therefore, it is important for new failure analysis methods to be explored in order to obtain more useful and comprehensive failure information as early as possible, particularly during early design phases when detailed models might not yet exist. Therefore, this paper proposes a qualitative, function-based failure analysis method for early design phases that is capable of not only analyzing potential failure modes for physical components, but also for any manufacturing processes that might cause failures, as well. In this paper, the proposed method is first described in general and then applied in a case study of a proposed design for a nanochannel DNA sequencing device. Lastly, this paper discusses how more advanced and detailed analyses can be incorporated into this approach during later design phases, when more failure information becomes available.

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