Research on Maintenance Cycle Optimization of Power Generation Equipments Based on PSO

2013 ◽  
Vol 391 ◽  
pp. 358-361
Author(s):  
Yi Gang Liu ◽  
Zhu Liu ◽  
Jun Hui Liang ◽  
Si Zhe Liao ◽  
Kai Ping Yang

Maintenance cycle optimization of power generation equipments is a complex decision-making process which needs to consider risk, availability and cost .This paper uses Probabilistic risk assessment (PRA) technology in maintenance cycle optimization, establishes multi-component maintenance risk-cost model,conducts comprehensive optimization best cycle and the lowest cost. Introduce PSO method as optimized decisions, find the optimal maintenance cycle for the target of the lowest total maintenance costs and achieving the required level of safety, improve optimized speed and the quality of reconciliation.

2019 ◽  
Vol 25 (2) ◽  
pp. 213-235 ◽  
Author(s):  
Soumava Boral ◽  
Sanjay Kumar Chaturvedi ◽  
V.N.A. Naikan

Purpose Usually, the machinery in process plants is exposed to harsh and uncontrolled environmental conditions. Even after taking different types of preventive measures to detect and isolate the faults at the earliest possible opportunity becomes a complex decision-making process that often requires experts’ opinions and judicious decisions. The purpose of this paper is to propose a framework to detect, isolate and to suggest appropriate maintenance tasks for large-scale complex machinery (i.e. gearboxes of steel processing plant) in a simplified and structured manner by utilizing the prior fault histories available with the organization in conjunction with case-based reasoning (CBR) approach. It is also demonstrated that the proposed framework can easily be implemented by using today’s graphical user interface enabled tools such as Microsoft Visual Basic and similar. Design/methodology/approach CBR, an amalgamated domain of artificial intelligence and human cognitive process, has been applied to carry out the task of fault detection and isolation (FDI). Findings The equipment failure history and actions taken along with the pertinent health indicators are sufficient to detect and isolate the existing fault(s) and to suggest proper maintenance actions to minimize associated losses. The complex decision-making process of maintaining such equipment can exploit the principle of CBR and overcome the limitations of the techniques such as artificial neural networks and expert systems. The proposed CBR-based framework is able to provide inference with minimum or even with some missing information to take appropriate actions. This proposed framework would alleviate from the frequent requirement of expert’s interventions and in-depth knowledge of various analysis techniques expected to be known to process engineers. Originality/value The CBR approach has demonstrated its usefulness in many areas of practical applications. The authors perceive its application potentiality to FDI with suggested maintenance actions to alleviate an end-user from the frequent requirement of an expert for diagnosis or inference. The proposed framework can serve as a useful tool/aid to the process engineers to detect and isolate the fault of large-scale complex machinery with suggested actions in a simplified way.


2020 ◽  
Vol 10 (3) ◽  
pp. 35
Author(s):  
Zdenek Dytrt ◽  
Radomir Serek

The management theory did not develop equally with the changes in technologies. The consequence of this shortcoming is a prevalence of quantitative management which puts an emphasis on the quantitative values. This represents a risk for the sustainable growth. Therefore, the managerial ethics, which biases qualitative values and attitudes, is important for the managers' decision-making. The effective decision-making process is further based not only on the manager's experience, which may lead to a certain routine, but also on the cooperation among the other departments and educational institutions. Furthermore, the successful innovations, which are often an outcome of the systemic and complex decision-making, require to follow certain rules during their implementation. A person may become an initiator, leader, subject or a consumer of the innovation and should be adequately prepared for all these roles. Despite the abrupt development in the technical areas there is not such progress in the humanities. Education is still more focused on the content and form (thus quantity) rather than on the applications and relations (quality).


2020 ◽  
pp. bmjspcare-2020-002428
Author(s):  
Donna Wakefield ◽  
Sarah Rhiannon Hanson

NICE (National Institute for Health & Care Excellence) guidance recommends that healthcare professionals with expertise in palliative care should be an integral part of the multidisciplinary team in managing patients with motor neuron disease (MND). Those in the poorest prognostic group may benefit from early referral to help manage rapidly progressive symptoms, psychological distress and offer additional support with complex decision-making and early robust advance care planning. Patients frequently develop dysphagia and gastrostomy feeding can be used to prolong survival and improve quality of life. As the disease progresses patients may request withdrawal of life-sustaining treatment such as gastrostomy feeding; however, a literature search found no evidence or guidance on how best to facilitate this. We present the case of a patient with MND admitted to the hospice inpatient unit requesting withdrawal of gastrostomy feeding, outline the challenges and need for further consensus guidelines to inform practice.


2020 ◽  
pp. bmjspcare-2020-002385 ◽  
Author(s):  
Daniel Knights ◽  
Felicity Knights ◽  
Iain Lawrie

The current COVID-19 pandemic is unprecedented and requires innovation beyond existing approaches to contribute to global health and well-being. This is essential to support the care of people at the end of their lives or who are critically ill from COVID-19 or other life-limiting illnesses. Palliative care (PC) is centred on effective symptom control, promotion of quality of life, complex decision-making, and holistic care of physical, psychological, social and spiritual health. It is ideally placed to both provide and contribute to care for patients, families, communities and colleagues during the pandemic. Where recovery is uncertain, emphasis should be on care and relief of suffering, as well as survival. Where healthcare resources and facilities come under intense pressure, lessons can be learnt from models of care in other settings around the world. This article explores how the field can contribute by ensuring that PC principles and practices are woven into everyday healthcare practice. We explore alternative ways of providing care under such pressure and discuss three areas of learning from resource-limited settings: (1) integration of palliative medicine into everyday practice, (2) simplification of biomedical management plus multidisciplinary teamwork and (3) effective use of volunteers.


2017 ◽  
Vol 9 (2) ◽  
Author(s):  
N. Shcherbakov ◽  
F. Trishyn

The process of developing a virtual 3D simulator of the process of granulation of mixed fodders is considered. The consequences of errors in the operation of press granulator operators are considered. The difficulties associated with the training of high-tech and expensive equipment operators are described. The necessity and described difficulties of acquiring practical skills of working with such equipment at the training stage are substantiated. It is argued the need to introduce computer simulators in educational institutions in order to improve the quality of the acquired knowledge, form a complex decision-making skill for future operators of technological processes. The results of a survey on improving the efficiency of management of technological processes after the introduction of simulators at enterprises are considered. The data of the simulator market and its forecasts for 2017 by regions and types of the interface used are presented. The conclusion is drawn about the growing popularity of simulators based on the 3D interface. The advantage of using the 3D interface with respect to the 2D interface is substantiated. The types of immersion in the learning environment in various simulator interfaces are considered. The vulnerabilities of the 3D simulator are noted. The goal is to develop a 3D simulator for a press granulator operator. A solution of a set of tasks is proposed to achieve this goal. The plan for creating a simulator was developed. A detailed consideration of the development stages of the simulator is given. The possibilities of using the simulator being developed are considered. The possibility of developing a simulator of emergency situations is described. The relevance of this development is justified.


1970 ◽  
Vol 14 (1) ◽  
pp. 33-52
Author(s):  
Draženka Levačić ◽  
Mario Pandžić ◽  
Dragan Glavaš

A complex decision is any decision which includes choosing among options with numerous describing attributes. Certain decisions are fast, often guided with automatic processes of thought, while other decisions are made much slower with careful examination of all the factors. These processes can have a significant impact on the quality of decision making. The aim of this research was to investigate the effect of automatic, conscious and unconscious thought processes in the context of decision making. Participants were psychology students aged between 19 to 28 years. First experiment investigated the role of three different thought processes on choosing a subjectively best option, as well as TTB heuristic option. The second experiment investigated metacognitive aspects of decision making, precisely, to determine the differences in feeling of rightness (FOR) as well as the tendency to change the decision, depending on the activated thought processes. Different thought processes determined the choice of the subjectively best option. In the conscious thought condition, participants chose the subjectively best option more often than in the automatic or unconscious thought condition. However, there was no difference between conditions in choosing the TTB heuristic option. The feeling of rightness was significantly higher in conscious thought condition than in automatic or unconscious thought condition, but the two latter conditions did not differ in the judgment of feeling of rightness nor did they differ in the tendency to change the decision.


2021 ◽  
Vol 129 ◽  
pp. 01024
Author(s):  
Pavla Pokorná

Research background: To conduct the research, we used data from two surveys conducted in the Czech Republic before the outbreak of the Covid crisis and after the full wave of the crisis. The research focused on the behaviour of entrepreneurs in the field of finance and planning. Statistical methods for data processing suitable for obtaining relevant results were used. Purpose of the article: The paper aims to map the behaviour of entrepreneurs in relation to their business. During business, the entrepreneur decides on the direction of the company and its relationship to the external and the internal environment, which forms the overall image of the company. Drawing on internal and external resources is a very complex decision-making process and is a key element for many companies and entrepreneurs during the Covid 19 pandemic, either in the development of the company or in its existence as such. Methods: The research was conducted in two periods, before the emergence of the COVID - 19 virus, i.e., in the autumn of 2018 and after the first wave of the covid crisis (autumn 2020). They were attended by 488 respondents from all over the Czech Republic. Correlation and square tests were used to evaluate the results. For some statements, a change was demonstrated for some, the hiding of respondents did not change. Finally, research was carried out on reinvestment activities in the addressed companies. Findings & Value added: The results suggest that certain behaviours of entrepreneurs have changed, but there are aspects where the change has occurred but is not statistically significant. All aspects create an overall picture of the behaviour of entrepreneurs, which must be quickly adjusted to the current situation, because without constant adaptation to the environment, the company will not have a long life.


Author(s):  
Alley Butler ◽  
Dan Baldwin ◽  
Mohit Kashyap

Maintenance costs are often significant for complex machinery, and organizations that are able to accurately assess maintenance costs for complex machinery can design or re-design the machinery to reduce maintenance expenses. This paper provides a review of relevant reliability theory to provide a background for model construction. The maintenance cost model is then developed from a probabilistic perspective, with a hierarchical breakdown of the complex machinery, and with consideration of the time value of money. A framework for the cost model is offered in which the cost of repair and preventative maintenance is considered along with the downtime costs for repair or preventative maintenance. As a proof of concept, maintenance costs for Ship Service Gas Turbine Generators (SSGTG) are developed from the Navy’s OARS (Open Architecture Retrieval System) data. Problems with data quality and heuristic adjustment of the data are discussed, recognizing that work is ongoing to improve the quality of the Navy’s maintenance data. Cognition Corporation’s Cost Advantage software is used for the modeling effort, providing an ability to focus on maintenance cost at any level of detail and to obtain cost roll up, as needed. Conclusions are drawn with respect to the modeling of maintenance costs for complex machinery.


2019 ◽  
Vol 11 (8) ◽  
pp. 2211 ◽  
Author(s):  
Khydija Wakil ◽  
Malik Asghar Naeem ◽  
Ghulam Abbas Anjum ◽  
Abdul Waheed ◽  
Muhammad Jamaluddin Thaheem ◽  
...  

With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban visual pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing visual pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of visual pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of individual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based visual pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting visual pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence; hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries.


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