Risk Based Inspection (RBI) for Subsea Equipments

2010 ◽  
Author(s):  
Yong Bai ◽  
Mohd Ashri ◽  
Mohd Fauzi Badaruddin ◽  
Xu Bai ◽  
S. L. He
Keyword(s):  
Risk Analysis ◽  
Failure Modes ◽  
Risk Level ◽  
Structural Components ◽  
Inspection Planning ◽  
Inspection Plan ◽  
Planning Approach ◽  
Inspection And Maintenance

The fleet of subsea systems, such as pipelines, trees and manifolds etc is at present rapidly increasing. This paper presents a risk based inspection planning approach that is new for subsea equipments. Very few publications on RBI of subsea equipments exist and have been actually applied due to the complexity of subsea components. In this paper, failure modes are described, offshore reliability database is used and risk analysis is performed taking into account the consequences of failure of equipments mainly in terms of Asset (Loss of production, Unavailability, Costs of repair). Risk level and corresponding inspection effort are estimated. An overall inspection plan is then provided for all structural components of subsea equipments: pipelines, trees and manifolds. Such a methodology has the benefit to rank the components and results in optimization of the inspection and maintenance effort.

Cause and effect oriented sewer degradation evaluation to support scheduled inspection planning

2015 ◽  
Vol 72 (7) ◽  
pp. 1176-1183 ◽  
Author(s):  
D. Fuchs-Hanusch ◽  
M. Günther ◽  
M. Möderl ◽  
D. Muschalla
Keyword(s):  
Regression Models ◽  
Inspection Planning ◽  
Negative Effects ◽  
Sewer System ◽  
Logistic Regression Models ◽  
Cause And Effect ◽  
Evaluation Approach ◽  
Planning Approach ◽  
Inspection And Maintenance ◽  
Degradation Evaluation

Managing the subsurface urban infrastructure, while facing limited budgets, is one of the main challenges wastewater utilities currently face. In this context targeted planning of inspection and maintenance measures plays a crucial role. This paper introduces a cause and effect oriented sewer degradation evaluation approach to support decisions on inspection frequencies and priorities. Therefore, the application of logistic regression models, to predict the probability of failure categories as an alternative to the prediction of sewer condition classes, was introduced. We assume that analysing the negative effects resulting from different failure categories in extension to a condition class-based planning approach offers new possibilities for targeted inspection planning. In addition, a cross validation process was described to allow for a more accurate prediction of sewer degradation. The described approach was applied to an Austrian sewer system. The results show that the failure category-based regression models perform better than the conventional condition class-oriented models. The results of the failure category predictions are presented with respect to negative effects the failure may have on the hydraulic performance of the system. Finally, suggestions are given for how this performance-oriented sewer section evaluation can support scheduled inspection planning.

scholarly journals Cartilage Tissue Engineering by Extrusion Bioprinting: Process Analysis, Risk Evaluation, and Mitigation Strategies

Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3528
Author(s):  
Mauro Petretta ◽  
Giovanna Desando ◽  
Brunella Grigolo ◽  
Livia Roseti
Keyword(s):  
Tissue Engineering ◽  
Risk Analysis ◽  
Failure Mode ◽  
Failure Modes ◽  
Process Analysis ◽  
Cartilage Tissue Engineering ◽  
Cartilage Tissue ◽  
Risk Level ◽  
Main Process ◽  
Criticality Analysis

Extrusion bioprinting is considered promising in cartilage tissue engineering since it allows the fabrication of complex, customized, and living constructs potentially suitable for clinical applications. However, clinical translation is often complicated by the variability and unknown/unsolved issues related to this technology. The aim of this study was to perform a risk analysis on a research process, consisting in the bioprinting of a stem cell-laden collagen bioink to fabricate constructs with cartilage-like properties. The method utilized was the Failure Mode and Effect Analysis/Failure Mode and Effect Criticality Analysis (FMEA/FMECA) which foresees a mapping of the process to proactively identify related risks and the mitigation actions. This proactive risk analysis allowed the identification of forty-seven possible failure modes, deriving from seventy-one potential causes. Twenty-four failure modes displayed a high-risk level according to the selected evaluation criteria and threshold (RPN > 100). The results highlighted that the main process risks are a relatively low fidelity of the fabricated structures, unsuitable parameters/material properties, the death of encapsulated cells due to the shear stress generated along the nozzle by mechanical extrusion, and possible biological contamination phenomena. The main mitigation actions involved personnel training and the implementation of dedicated procedures, system calibration, printing conditions check, and, most importantly, a thorough knowledge of selected biomaterial and cell properties that could be built either through the provided data/scientific literature or their preliminary assessment through dedicated experimental optimization phase. To conclude, highlighting issues in the early research phase and putting in place all the required actions to mitigate risks will make easier to develop a standardized process to be quickly translated to clinical use.

scholarly journals A Matrix FMEA Analysis of Variable Delivery Vane Pumps

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1741
Author(s):  
Joanna Fabis-Domagala ◽  
Mariusz Domagala ◽  
Hassan Momeni
Keyword(s):  
Risk Analysis ◽  
Failure Modes ◽  
High Reliability ◽  
Matrix Analysis ◽  
Hydraulic Systems ◽  
Vane Pump ◽  
End Effects ◽  
Root Cause ◽  
Preventative Measures ◽  
Fmea Analysis

Hydraulic systems are widely used in the aeronautic, machinery, and energy industries. The functions that these systems perform require high reliability, which can be achieved by examining the causes of possible defects and failures and by taking appropriate preventative measures. One of the most popular methods used to achieve this goal is FMEA (Failure Modes and Effects Analysis), the foundations of which were developed and implemented in the early 1950s. It was systematized in the following years and practically implemented. It has also been standardized and implemented as one of the methods of the International Organization for Standardization (ISO) 9000 series standards on quality assurance and management. Apart from wide application, FMEA has a number of weaknesses, which undoubtedly include risk analysis based on the RPN (Risk Priority Number), which is evaluated as a product of severity, occurrence, and detection. In recent years, the risk analysis has been very often replaced by fuzzy logic. This study proposes the use of matrix analysis and statistical methods for performing simplified RCA (Root Cause Analysis) and for classification potential failures for a variable delivery vane pump. The presented methodology is an extension of matrix FMEA and allows for prioritizing potential failures and their causes in relation to functions performed by pump components, the end effects, and the defined symptoms of failure of the vane pump.

Mooring Sense Project: A Risk-Based Integrity Management Strategy for Mooring System of Floating Offshore Wind

2021 ◽  
Author(s):  
Alessandro La Grotta ◽  
Róisín Louise Harris ◽  
Clive Da Costa
Keyword(s):  
Energy Production ◽  
Management Strategy ◽  
Offshore Wind ◽  
Risk Level ◽  
Mooring System ◽  
Inspection Planning ◽  
Potential Cost ◽  
Operational Costs ◽  
Floating Offshore Wind Turbines ◽  
Integrity Management

Abstract While Floating Offshore Wind (FOW) represents a significant opportunity to foster wind energy development and to contribute to remarkable CO2 emissions reductions, its associated operational costs are still substantially above grid parity, and significant innovation is needed. MooringSense is a research and innovation project which explores digitisation technologies to enable the implementation of risk-based integrity management strategies for mooring systems in the FOW sector with the aim to optimise Operations and Maintenance (O&M) activities, reduce costs, and increase energy production. As part of this project, a risk-based assessment methodology specific for the mooring system of Floating Offshore Wind Turbines (FOWT) has been developed; this allows the development of a risk-based Mooring Integrity Management Strategy that can result in more cost-effective inspection planning. The methodology shall utilise the information made available by numerical tools, sensors, and algorithms developed in the project to update the risk level of the mooring system and set the required plan to mitigate the risk. Leveraging the additional information from monitoring technologies and predictive capabilities to determine the mooring system condition and remaining lifetime, the strategy provides the criteria for optimal decision making with regards to selection of O&M activities. The risk-based strategy developed allows for optimal planning of inspection and maintenance activities based on dynamic risk level that is periodically updated through the interface with the Digital Twin (DT). The validation of the strategy will demonstrate potential cost saving and economic advantages, however, it is expected that the overall MooringSense approach can reduce FOW farm operational costs by 10-15% and increase operational efficiency by means of an Annual Energy Production increase by 2-3%. The MooringSense project comprises of the development and validation of innovative solutions coming from multiple disciplines such as numerical modelling, simulation, Global Navigation Satellite System (GNSS), Structural Health Monitoring (SHM), and control systems which will provide valuable input to the risk-based mooring integrity management strategy.

scholarly journals Risk Analysis of Vegetables Marketing in Rwanda, A case of carrots and cabbages produced in Rubavu District and supplied across the country

2020 ◽  
Vol 56 (2) ◽  
Author(s):  
Jean Jacques KUBWIMANA
Keyword(s):  
Risk Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Risk Level ◽  
Bivariate Analysis ◽  
Market Demand ◽  
Contractual Arrangements ◽  
Marketing Risk ◽  
Storage Network

Due to the perishable nature and biological nature of the production process there is difficulty in scheduling the supply of vegetables to market demand. The vegetables are subjected to higher prices and quantity risks with changing consumers’ demand and production conditions. The core focus of this study was to reach, measure, and analyzing the marketing risk level of vegetables produced in Rubavu District, Rwanda. The study based on a survey of 90 vegetable sellers. At least 30 couple of wholesalers and middlemen visited Rubavu District to trade the vegetables for various retails. Primary data collected through structured questionnaires and secondary data sources used. A Five-point Likert associated with the bivariate analysis was used to rank the risk level while the full model of Linear Regression Analysis and factor analysis were used to identifier the majors’ factors associated with the risk in vegetable marketing in Rwanda. The mean score results derived based on Likert-Scales, indicated that “low seasonal product prices, weak market channels, poor logistics, and market communications, poor product handling and packaging, lack of storage and higher perishability’ identified to be the most important sources of risk. Therefore, the use of forwards’ contracts; getting market information, sell at crude prices due to perishability, contractual arrangements, maintaining good relationships and restoring the storage network system were of significant concerns for overcoming the recognized risks.   Keywords: Risk, Risk analysis, Likert Scale, Marketing risk, Vegetable Marketing risk, and Risk Management.

scholarly journals ANALISIS POLA DAN RESIKO USAHA GULA AREN DI KABUPATEN REJANG LEBONG

2012 ◽  
Vol 11 (1) ◽  
pp. 1-11
Author(s):  
Felycia Tyera Kencana ◽  
Ketut Sukiyono ◽  
Bambang Sumantri
Keyword(s):  
Risk Analysis ◽  
Rainy Season ◽  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Dry Season ◽  
Risk Level ◽  
Cluster Sampling ◽  
Production Scale ◽  
Research Areas ◽  
Palm Sugar

This study is aimed at examining enterprises model and analysing risk level of Palm Sugar in Rejang Lebong Regency.  Risk Analysis involve nira harvested, nira processed, palm sugar production, and palm sugar prices received by producers.  Two-stages cluster sampling method is used to determine research areas, i.e, subdistrict of Sindang Kelingi and Selupu Rejang based on the numbers of  firms. Using similar critirea, two villages are selected, i.e, Air Meles Atas and Sindang Jati.  From those villages, then, 86 palm sugar producers are selected using Simple Random Sampling. Descriptive analysis is applied to describe entreprises model of palm sugar industries while risks is analysed using its varians, standard deviation, and minimum level of production as proposed by Maryam and Suprapti (2008).   The research shows that all palm sugar industries in this regency can be categories as home industries with average production scale of  11.58 kg per process in rainy season and 11. 54 kg in dry season. Palm sugar producers  use  their own capital to produce palm sugar and borrowed to palm sugar village merchants when they need.  From risk analysis, the study finds that palm sugar producers will face higher risk in term of nira harvested and processed, and production in dry season, except in term of price received which is higher in rainy season.  Over all, palm sugar producers will not face risk significantly both in dry and rainy season.Key words: Palm Sugar, Enterprises model, Risk analysis       

Continual improvement of the pre-analytical process in a public health laboratory with quality indicators-based risk management

2019 ◽  
Vol 57 (10) ◽  
pp. 1530-1538 ◽  
Author(s):  
Canan Karadağ ◽  
Nafi Nevrez Demirel
Keyword(s):  
Public Health ◽  
Risk Management ◽  
Quality Indicators ◽  
Failure Modes ◽  
Public Health Laboratory ◽  
Risk Level ◽  
Continual Improvement ◽  
Risk Levels ◽  
Analytical Process ◽  
Risk Treatment

Abstract Background Quality indicators (QIs) and risk management are important tools for a quality management system designed to reduce errors in a laboratory. This study aimed to show the effectiveness of QI-based risk management for the continual improvement of pre-analytical processes in the Kayseri Public Health Laboratory (KPHL) which serves family physicians and collects samples from peripheral sampling units. Methods QIs of pre-analytical process were used for risk assessment with the failure modes and effects analysis (FMEA) method. Percentages and risk priority numbers (RPNs) of QIs were quantified. QI percentages were compared to the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) performance specifications and RPNs were compared to risk level scale, and corrective actions planned if needed. The effectiveness of risk treatment actions was re-evaluated with the new percentages and with RPNs of predefined QIs. Results RPNs related to four QIs required corrective action according to the risk evaluation scale. After risk treatment, the continual improvement was achieved for performance and risk level of “transcription errors”, for risk levels of “misidentified samples” and “not properly stored samples” and for the performance of “hemolyzed samples”. “Not properly stored samples” had the highest risk score because of sample storage and centrifugation problems of peripheral sampling units which are not under the responsibility of the KPHL. Conclusions Public health laboratories may have different risk priorities for pre-analytical process. Risk management based on predefined QIs can decrease the risk levels and increase QI performance as evidence-based examples for continual improvement of the pre-analytical process.

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