Cost Benefit Analysis Tool Incorporating Probabilistic Risk Assessment for Structural Health Monitoring

2006 ◽  
Author(s):  
John C. Aldrin
Keyword(s):  
Risk Assessment ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Probabilistic Risk Assessment ◽  
Analysis Tool ◽  
Benefit Analysis ◽  
Structural Health ◽  
Probabilistic Risk

scholarly journals Guidelines and Cost-Benefit Analysis of the Structural Health Monitoring Implementation in Offshore Wind Turbine Support Structures

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1176 ◽  
Author(s):  
Maria Martinez-Luengo ◽  
Mahmood Shafiee
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Baseline Scenario ◽  
Benefit Analysis ◽  
Hardware Cost ◽  
Structural Health

This paper investigates how the implementation of Structural Health Monitoring Systems (SHMS) in the support structure (SS) of offshore wind turbines (OWT) affects capital expenditure (CAPEX) and operational expenditure (OPEX) of offshore wind farms (WF). In order to determine the added value of Structural Health Monitoring (SHM), the balance between the reduction in OPEX and the increase in CAPEX is evaluated. In this paper, guidelines for SHM implementation in offshore WF are developed and applied to a baseline scenario. The application of these guidelines consist of a review of present regulations in the United Kingdom and Germany, the development of SHM strategy, where the first stage of the Statistical Pattern Recognition (SPR) paradigm is explored, failure modes that can be monitored are identified, and SHM technologies and sensor distributions within the turbines are described for a baseline scenario. Furthermore, an inspection strategy where the different structural inspections to be carried out above and below water is also developed, together with an inspection plan for the lifetime of the structures, for the aforementioned baseline scenario. Once the guidelines have been followed and the SHM and inspection strategies developed, a cost-benefit analysis is performed on the baseline case (10% instrumented assets) and three other scenarios with 20%, 30% and 50% of instrumented assets. Finally, a sensitivity analysis is conducted to evaluate the effects of SHM hardware cost and the time spent in completing the inspections on OPEX and CAPEX of the WF. The results show that SHM hardware cost increases CAPEX significantly, however this increase is much lower than the reduction in OPEX caused by SHM. The results also show that an increase in the percentage of instrumented assets will reduce OPEX and this reduction is considerably higher than the cost of SHM implementation.

Risk and Governance Part II: Policy in a Complex and Plurally Perceived World

1998 ◽  
Vol 33 (3) ◽  
pp. 330-354 ◽  
Author(s):  
Michael Thompson ◽  
Steve Rayner ◽  
Steven Ney
Keyword(s):  
Risk Assessment ◽  
Public Policy ◽  
Risk Perception ◽  
Policy Analysis ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Probabilistic Risk Assessment ◽  
Benefit Analysis ◽  
Life Years ◽  
Definition Of

OUR CONCLUSION, IN PART I,* WAS THAT THE ABANDONMENT OF THE expert/lay dichotomy as the basis for understanding risk perception, whilst essential, is not going to be easy. We argued that:1) Objectivism (the idea that we can clearly distinguish between what the risks really are and what people variously and erroneously believe them to be) has to give way to constructivism (the idea that risk is inherently subjective: something that we project onto whatever it is that is ‘out there’).2) To impose a single definition of what the problem is, which is what so much of policy analysis and science-for-public-policy does, is to exclude all those who happen not to share that particular way of framing things. Since people are unlikely to support a policy that is aimed at solving what they do not see to be the problem, approaches that insist on singularity (and on single metrics — cost: benefit analysis, for instance, probabilistic risk assessment, qualityadjusted life years and so on) will inevitably be low on consent, surprise-prone, unref lexive, brittle and undemocratic.

Establishment of Risk Assessment Model for Ship Collision using Applied Bayesian Network -Collision Accidents between Fishing vessels and Cargo Vessels -

2015 ◽  
Author(s):  
Takeshi Shinoda ◽  
Koji Uru
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Benefit Analysis ◽  
Fishing Vessels ◽  
Formal Safety Assessment ◽  
Trial Cost

In this study, a risk assessment model for ship collisions is proposed according to the guidelines for Formal Safety Assessment (FSA) approved by IMO in 2002. The analysis is applied to ship collisions between fishing and cargo vessels owing to their high frequency and enormous damage. Bayesian network theory for risk analysis has been applied to reveal a causal relationship on human factors. A trial evaluation of Risk Control Options (RCOs) for collisions is attempted through the calculation of the dominance index. Finally, a trial cost benefit analysis for RCOs is considered through Gross Cost of Averting Fatality (GCAF) in FSA.

scholarly journals Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization

2020 ◽  
Vol 144 ◽  
pp. 106901 ◽  
Author(s):  
Sergio Cantero-Chinchilla ◽  
James L. Beck ◽  
Manuel Chiachío ◽  
Juan Chiachío ◽  
Dimitrios Chronopoulos ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Cost Benefit ◽  
Structural Health ◽  
Convex Cost ◽  
Actuator Placement

scholarly journals Structural Health Monitoring (SHM) of Machine Using a Combination of Non-Destructive Testing for Heavy Manufacturing Industry

2020 ◽  
Vol 184 ◽  
pp. 01059
Author(s):  
Ashish Khaira ◽  
Ravi. K. Dwivedi ◽  
Sanjay Jain
Keyword(s):  
Structural Health Monitoring ◽  
Condition Monitoring ◽  
Health Monitoring ◽  
Manufacturing Industry ◽  
Research Work ◽  
Cost Benefit ◽  
Life Cycles ◽  
Destructive Testing ◽  
Structural Health ◽  
Non Destructive

Markets are affected by assorted consumer requirements, which insist on superior quality, shorter delivery time, better customer support, and lower prices. Simultaneously, product life cycles are becoming shorter. Success relies on having either a cost-benefit or a value benefit, or, both in any competitive context. Therefore, non-destructive techniques (NDT) become vital but in the conventional system, the maintenance personnel has to visit the machine that consumes time and energy. In the present COVID-19 situation and to save energy and time, there is a necessity of making condition monitoring contactless as much as possible. Therefore, in this research work, a structural health monitoring analysis presented that covers: firstly, enlisting of the NDT infrastructure commonly available in heavy manufacturing industries; secondly, common causes and reasons of machine failures and finally, discusses need of embedded structural health monitoring (e-SHM) system with the combination of NDT in place of existing monitoring practice. The presented work suggested that a combination of NDT with e-SHM is better for timely fault detection to ensure effective condition monitoring.

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