Failure Mode and Effect Analysis (FMEA) for Enhancing Reliability of Water Tube Boiler in Thermal Power Plant

2016 ◽  
Vol 8 (02) ◽  
pp. 79-86
Author(s):  
Kapil Dev Sharma ◽  
Shobhit Srivastava
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Effect Analysis ◽  
Water Tube ◽  
Potential Failure ◽  
Fmea Method ◽  
Continuous Power

Failure mode and effect analysis is one of the QS-9000 quality system requirement supplements, with a wide applicability in all industrial fields. FMEA is the inductive failure analysis instruments which can be defined as a methodical group of activities intended to recognize and evaluate the potential failure modes of a product/ process and its effects with an aim to identify actions which could eliminate or reduce the chance of the potential failure before the problem occur. The purpose of this paper is to evaluate the FMEA research and application in the Thermal Power Plant Industry. The research will highlight the application of FMEA method to water tubes (WT) in boilers with an aim to find-out all the major and primary causes of boiler failure and reduce the breakdown for continuous power generation in the plant. Failure Mode and Effect Analysis technique is applied on most critical or serious parts (components) of the plant which having highest Risk Priority Number (RPN). Comparison is made between the quantitative results of FMEA and reliability field data from real tube systems. These results are discussed to establish relationships which are useful for future water tube designs.

Failure Mode and Effect Analysis of a Thermal Power Plant for Enhancing its Reliability

2011 ◽  
Vol 110-116 ◽  
pp. 2969-2975 ◽  
Author(s):  
N.S. Bhangu ◽  
Rupinder Singh ◽  
G.L. Pahuja
Keyword(s):  
Power Plant ◽  
Failure Mode ◽  
Thermal Power Plant ◽  
Failure Modes ◽  
Thermal Power ◽  
Research Work ◽  
Component Level ◽  
Effect Analysis ◽  
Thermal Plant

Failure Mode and Effect Analysis (FMEA) has a well deserved reputation for systematic and thorough evaluation of failures at the system, sub-system or component level in all manufacturing and processing sectors. These organizations are looking for the final product to be “safe and reliable”. FMEA helps designers to identify and eliminate/control dangerous failure modes, minimizing damage to the system and its users. This paper, as an extension to the prior research work, introduces an insight into the reasons of failure and its effects in a thermal power plant opted for the case study, based on conceptual designs in context of FMEA. The analysis takes into account preparation of appropriate diagnostic and maintenance procedures with the aim of enhancement of thermal plant reliability. The FMEA technique used may be helpful for the design and maintenance departments to curtail the downtime of the plant.

scholarly journals Identifikasi Potensi Modus Kegagalan Yang Dapat Menghambat Kelancaran Proses Pelayanan Rawat Jalan Menggunakan Failure Mode Effect Analysis (FMEA) Di Rumah Sakit BM Jakarta Barat

2020 ◽  
Vol 8 (2) ◽  
pp. 105-113
Author(s):  
Achmaddudin Sudiro
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Outpatient Service ◽  
Outpatient Services ◽  
Effect Analysis ◽  
Outpatient Unit ◽  
Mode Effect ◽  
Potential Failure ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

Outpatient services hosted by the hospital have never been absent from public visits. In fact, every year an outpatient visitor is always increasing. This research intends to identify potential failure mode that can  inhibit of every flow of service in the outpatient care unit using the Failure Mode Effect Analysis (FMEA) method. Qualitative research plan using an observation survey approach and in-depth interviews with the outpatient service head Coordinator conducted in February 2020 on the hospital outpatient unit service process. The results of this study Indicate the potential failure mode that has the value of the RPN above the value of cut off point 180 as many as six out of ten failure modes. Firstly, the check is not on schedule (360), secondly, the patient lags a turn call order Check (270), third, Specific drug failure is not available (245), fourth, general patient protests with the price of the drug (224), fifth, the patient is void to poly (196), the sixth patient registrant online missed sequence number queue (180). Based on the results of the research, hospitals are expected to follow up with the results of this research by conducting a redesign of the process that occurs today using the FMEA to maintain service quality.

scholarly journals Analisa defect produk sheet area corrugator 301 menggunakan metode SPC dan FMEA di PT Indah Kiat

2020 ◽  
Vol 12 (3) ◽  
pp. 332
Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Uneven Surface ◽  
Statistical Process ◽  
Effect Analysis ◽  
Product Defect ◽  
Fmea Method

This study aims to analyze defects in the sheet production process in the 301 Corrugator area by analyzing the total number of sheets produced and the number of sheets that have been damaged over a certain period of time using the Statistical Process Control (SPC) method and Failure Modes and Effect Analysis (FMEA). Based on the research results, there are 6 defects, namely untidy cuts, wrinkled sheets, uneven surface, curved sheets, uneven sides, loose sheet layers. The most dominant defect is uneven surface, which is 185.141 Kg or 60%. Based on the value of the RPN table, the product defect that has the highest value is the loose sheet layer with an RPN value of 245 from the calculation stage of the RPN value, a suggestion is made to reduce defects resulting from the loose sheet layer. From the stage of making improvements, the company should prioritize and focus on the types of disabilities and types of disabilities that have the highest RPN ranking when using the Failure Mode and Effect Analysis (FMEA) method.

scholarly journals Risk analysis of warehouse operation in a power plant through a Modified FMEA

2018 ◽  
Vol 154 ◽  
pp. 01089
Author(s):  
Sri Indrawati ◽  
Kharina Novia Karunia Ningtyas ◽  
Alfina Budi Khoirani ◽  
Riadho Clara Shinta
Keyword(s):  
Power Plant ◽  
Risk Analysis ◽  
Needs Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Basic Needs ◽  
Risk Priority Number ◽  
West Java ◽  
Warehouse Operation ◽  
Fmea Method

Currently, electricity becomes basic needs for human’s life sustainability. Most of activities require electricity. Some power plant are demanded to be able to fulfil above necessity by distributing electricity as it required within time. Therefore, to accommodate good performance, it needs assessment on risk analysis, specifically at the warehousing division. A risk analysis is needed for assuring a good performance warehouse. A Modified FMEA method is used to analyse the risk. This method id done by identifying sources and root causes of a problem based on the value of risk priority number (RPN). The research is conducted in an Indonesian power plant, located in West Java. There are 10 types of failure modes. The result shows that the failure mode priority is inventory discrepancies. There are no difference ranking on the most impacted failure to be prioritized using FMEA and modified FMEA method.

Sensitivity and reliability evaluation for a thermal power plant subject to complex failures and human error

2019 ◽  
Vol 15 (5) ◽  
pp. 895-912 ◽  
Author(s):  
Amit Kumar
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Design Methodology ◽  
Human Error ◽  
Thermal Power ◽  
Time To Failure ◽  
Content Type ◽  
Critical Components ◽  
Continuous Power ◽  
Mean Time

Purpose The purpose of this paper is to analyze a thermal power plant (TPP) by taking into consideration its key components, namely, boiler, turbine, conveyor and generator, which are handled by a human operator. It is well known fact that the continuous power generation through a power plant depends on the reliability/availability of its components. Design/methodology/approach The various performance measures of a TPP are obtained by using mathematical modeling, Markov process and supplementary variable technique. Findings Reliability, i.e. mean time to failure with respect to different components of a TPP, has been obtained and demonstrated with the help of graphs. Critical components of the system are identified through sensitivity analysis. Originality/value In the present paper, a mathematical model based on the functioning of a TPP has been developed. Conclusions in this paper are good references for the design of a TPP.

scholarly journals Failure Mode and Effect Analysis (FMEA) for confectionery manufacturing in developing countries: Turkish delight production as a case study

2012 ◽  
Vol 32 (3) ◽  
pp. 505-514 ◽  
Author(s):  
Sibel Ozilgen
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Chemical Contamination ◽  
Risk Priority Number ◽  
Analysis Model ◽  
Production Potential ◽  
Effect Analysis ◽  
Potential Failure

The Failure Mode and Effect Analysis (FMEA) was applied for risk assessment of confectionary manufacturing, in whichthe traditional methods and equipment were intensively used in the production. Potential failure modes and effects as well as their possible causes were identified in the process flow. Processing stages that involve intensive handling of food by workers had the highest risk priority numbers (RPN = 216 and 189), followed by chemical contamination risks in different stages of the process. The application of corrective actions substantially reduced the RPN (risk priority number) values. Therefore, the implementation of FMEA (The Failure Mode and Effect Analysis) model in confectionary manufacturing improved the safety and quality of the final products.

scholarly journals Failure Mode and Effect Analysis (FMEA) of Pneumatic System of CNC Milling Machine

2021 ◽  
Vol 65 (1) ◽  
pp. 14-18
Author(s):  
Yudi Dwianda ◽  
Keyword(s):  
Failure Mode ◽  
Pneumatic System ◽  
Milling Machine ◽  
Cnc Milling ◽  
Effect Analysis ◽  
Cnc Milling Machine ◽  
Milling Machines ◽  
Potential Failure ◽  
Fmea Method ◽  
The Right

The purpose of this study is to determine the type of failures, the causes, as well as efforts and proposed actions that can be taken to improve the performance of the pneumatic system of CNC milling machines. The Failure Mode and Effect Analysis (FMEA) method is used to find priority problems through Risk Priority Number (RPN) for pneumatic system of components of CNC milling machine. The results of critical component analysis were a leakage occurs in pneumatic valve component, which the most critical risk of the RPN value. It potential failure was caused the high humidity and poor air quality from the compressor, which the RPN of 392 and 384 respectively. The proposed improvement was the replacement of damaged components and optimizing the preventive maintenance, which follow the right operation and maintenance procedures recommended as suggested by the manufacturer.

scholarly journals Failure Mode and Effect Analysis for a military nose landing gear project

2021 ◽  
Vol 13 (4) ◽  
pp. 205-212
Author(s):  
Ilie NICOLIN ◽  
Bogdan Adrian NICOLIN
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Military Training ◽  
Landing Gear ◽  
System Operation ◽  
Effect Analysis ◽  
Equipment Failures ◽  
Corrective Actions ◽  
Fmea Method ◽  
Product Description

Failure Mode and Effect Analysis (FMEA) techniques were originally developed by the US Military and have been used as techniques for assessing the reliability and effects of equipment failures. However, the first notable applications of FMEA techniques are related to the impressive development of the aerospace industry in the mid-1960s. FMEA is a methodology for systematically analyzing the failure modes of a project, product or process, prioritizing their importance, identifying system failure mechanisms, analyzing potential failure modes and the effects of these failures, followed by corrective actions, which are applied in the stage of conceptual and detailed design of the product. All approaches to FMEA methods in the scientific literature converge to achieve three goals, namely: the ability to predict the type of failure that may occur, the ability to predict the effects of the failure on system operation, and the establishment of the steps to prevent failure and its effects on the system operation. The FMEA for the project of a nose landing gear analyzes the failure modes of the product and their effects in operation, as a consequence of project deficiencies and identifies or confirms critical functions. To apply the FMEA method to the project of the nose landing gear of a military training aircraft, the following steps need to be accomplished: product description and identification of components; identification of functions; identification of potential ways of failure; estimating the frequency of causes of failure; appreciation of the severity of effects; assessment of difficulties in detecting defects; calculation of the Risk Priority Number (RPN); establishing the measures and corrective actions for the analyzed project.

scholarly journals An Improving failure Mode and Effect Analysis Method for Pallet Exchange Rack Risk Analysis

2021 ◽  
Author(s):  
Chuanxi Jin ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Risk Factors ◽  
Failure Mode ◽  
Evaluation Method ◽  
Failure Modes ◽  
Programming Model ◽  
Distance Measures ◽  
Analysis Method ◽  
Effect Analysis ◽  
Fmea Method ◽  
Picture Fuzzy Sets

Abstract In order to enhance quality and reliability of mechanical and electrical products, the methods of taking corresponding corrective measures to eliminate or alleviate product failure in advance have been widely concerned. Failure mode and effects analysis (FMEA) is a typical prevention reliability analysis method. However, there are some drawbacks in traditional FMEA method. To overcome these drawbacks, we propose a hybrid risk evaluation method, which combines picture fuzzy sets (PFSs), the PF-linear programming model (PF-LPM) method and the PF-weighted aggregated sum product assessment (PF-WASPAS) method. We adopt PFSs to evaluate risks of products. In order to overcome drawback of the traditional distance between PFSs, some new distance measures between PFSs based on the Dice similarity and the Jaccard similarity are proposed by us. The PF-LPM method which considers the subjective weights of risk factors and calculates synthetical deviation with the Dice similarity-based distance is utilized to calculate the weights of risk factors. Moreover, the PFWA operator and the PFWG operator are used by us to fuse experts’ evaluation information. Then, the PF-WASPAS method is utilized to rank failure modes. Finally, an illustrative example with respect to pallet exchange rack is introduced, and the rationality, effectiveness and applicability of the proposed method are verified by a discussion and comparison.

scholarly journals Risk Reduction of Healthcare Workers’ Exposure to COVID-19 using Failure Mode and Effect Analysis

2021 ◽  
Vol 8 (7) ◽  
pp. 436-445
Author(s):  
Humberto Guanche Garcell ◽  
Farid Ahmad Sohail ◽  
Tania M Fernandez Hernandez
Keyword(s):  
Infection Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Mitigation Measures ◽  
Risk Environment ◽  
Effect Analysis ◽  
Wide Range ◽  
Potential Failure

Background: The exposure to COVID-19 by staff has a major impact on healthcare system. Objective: identify potential failures related to the exposure of HCWs to COVID-19, evaluate the potential causes and effects, and the actions to mitigate the risk of exposure. Methods: Members of the infection control department, quality department, nursing department, and medical administration were selected as team members to conduct the Failure Mode and Effect Analysis (FMEA). The identification of potential failure modes, causes and effects was conducted in consecutive meetings. Accordingly, were identified actions to reduce the staff exposure to COVID-19. Results: The description of the complex process was conducted including the potential in-hospital and hospital-community interaction for transmission of infection to staff. In eight areas were identified 20 potential failure modes: Hand hygiene, personal protective equipment, detection of sick staff, exposure in common areas, hiring new staff, staff living conditions, and staff knowledge, skill, and perceptions about all other infection control practices. The highest ranked priorities were identified including improper PPE use (556 points), late detection of sick staff (520 points), and poor compliance with infection control practices in common areas (436 points) respectively. The mitigation strategies focused on a wide range of actions to improve the staff education, improve practices and procedures, monitor practices and feedback to staff in a continuous quality improvement cycle. Conclusion: Data presented provides a comprehensive evaluation of the risks and mitigation measures to prevent the staff exposure to COVID-19 conducted in a high-risk environment by a qualified FMEA team. Keywords: failure modes and effect analysis; quality management; risk mitigation; staff exposure; COVID-19; Qatar;

Sign in / Sign up

Export Citation Format

Share Document