The Application of Improved Fuzzy Analytic Hierarchy Process (FAHP) in the Condenser Fault Diagnosis

2013 ◽  
Vol 446-447 ◽  
pp. 1104-1108
Author(s):  
Jian Meng Yang ◽  
Ya Qing Jia ◽  
Feng Ying Liang
Keyword(s):  
Fault Diagnosis ◽  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Great Influence ◽  
Influential Factors ◽  
Influential Factor ◽  
Safe Operation ◽  
Analytic Hierarchy ◽  
Fuzzy Matrix ◽  
Hierarchy Process

The vacuum of condenser is an important parameter in the operation of steam turbine, which has a great influence on the safe operation and regulation performance of the turbine. Since the influential factors of vacuum reduction of condenser are fuzzy and uncertain, the improved FAHP is used. By comparing every two of the influential factors, the fuzzy matrix is constructed. The weight index of influential factors of vacuum reduction of condenser in a certain power plant is calculated out quantitatively. The most important influential factor is found out. And there is a verification which exactly identifies the fault of the condenser by using a real instance.

Students’ Tendencies in Choosing Technical and Vocational Education and Training (TVET): Analysis of the Influential Factors using Analytic Hierarchy Process

2021 ◽  
Vol 12 (3) ◽  
pp. 2608-2615
Author(s):  
Chia Ming Hong Et.al
Keyword(s):  
Analytic Hierarchy Process ◽  
Vocational Education ◽  
Social Perception ◽  
Influential Factor ◽  
Skilled Workers ◽  
Analytic Hierarchy ◽  
Technical And Vocational Education ◽  
The Government ◽  
Trained Manpower ◽  
Hierarchy Process

In the era of Industry Revolution (IR) 4.0, business and industry are being transformed by a new wave of digital technology. In order to boost the economy’s prosperity in Malaysia, skilled workforce or well-trained manpower is vital in accomplishing the goal.However, it requires mainstreaming Technical and Vocational Education Training (TVET)in education system by providingcomprehensive training, effective research consultancy, holistic courses, collaboration, student placement and program attachment opportunity. Coherent from this issue, the government can produce more skill workers that can handle the rapid changing world of work. In Malaysia, there are more than 1000 TVET institutions, where 506 are considered as public institutions. However, itstill receives less attention by the students after secondary education. The identified potential factors are TVET instructors, current policy in Malaysia, social perception, employers’ perception, parents, facility, education cost and student themselves. Therefore, this study aims to rank these factors according to the levels of importance using Analytic Hierarchy Process (AHP) method. AHP is a method used to rank criteria by assigning the weight for each criterion. In this study, primary data is collected using questionnaires from 32 TVET instructors of Institut Kemahiran Belia Negara (IKBN) in northern region of Malaysia. The result of AHP shows that the variable of parents is the most influential factor with the weight of 18.81%, followed by the variable of facilities (18.56%). Conversely, the least influential factor is the variable of social perception with the weight of 7.21%. Hence, the government should implement appropriate strategies to attract more secondary school students to enroll in TVET programs. Due to the growth of skilled workers, our country is expected to transform the landscape of the manufacturing industry over the next decade. Hence, developingthe country’s productivity and curbing youth unemployment.

Fuzzy Comprehensive Evaluation of Water Resources Carrying Capacity based on Vague Method

2014 ◽  
Vol 501-504 ◽  
pp. 2040-2044 ◽  
Author(s):  
Guan Yu Hou ◽  
De Shan Tang
Keyword(s):  
Water Resources ◽  
Analytic Hierarchy Process ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Fuzzy Matrix ◽  
Water Resources Carrying Capacity ◽  
Degree Of Membership ◽  
Hierarchy Process

China is a water resource-poor country, in recent years, rapid population growth resulting in water issues have become increasingly prominent. Taking Anhui Province as an example, using fuzzy synthetic evaluation method and combining the analytic hierarchy process evaluation analysis of water resources carrying capacity. Firstly, establishing the evaluation criteria of the index system of regional water resources carrying capacity and individual indicators, calculating evaluation index weight,establishing the weight fuzzy matrix, using Vague set and analytic hierarchy process method to determine the weight vector.Secondly, compositing a fuzzy matrix of weight values after obtaining the value of the weights of the various indicators, calculating the degree of membership, establishing the fuzzy relation matrix, fuzzy subset into a comprehensive evaluation model, and seeking the comprehensive evaluation value .Finally, determining the level of sustainable use of water resources in the specific area based on the principle of maximum degree of membership . After the evaluation are analyzed and compared in order to elaborate the evaluation method is feasible and effective.

scholarly journals Application of Analytic Hierarchy Process (AHP) to Develop the Weighting of Key Performance Indicators on Gas Engine Power Plants

2021 ◽  
Vol 3 (4) ◽  
pp. 18-23
Author(s):  
Dedi Emawan ◽  
Aditya Tirta Pratama ◽  
Henry Nasution
Keyword(s):  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Power Plants ◽  
Performance Indicator ◽  
Group Discussion ◽  
Heat Rate ◽  
Analytic Hierarchy ◽  
Gas Engine ◽  
Hierarchy Process ◽  
Engine Power

Power plants as electricity producers need to be maintained using monitoring performance and continuous improvements. Company management of power plant is difficult to make a decision for the continuous improvement, requires Performance Measurement Tools (PMT) to determine the performance of a gas engine power plant. PMT developed using Key Performance Indicator (KPI) that was defined through Forum Group Discussion (FGD) with different field of expertise in company and based on references and the weighting of KPI criterion that was developed by Analytic Hierarchy Process (AHP). This study has developed the weight of KPI that the weight of each criterion which will be used as a reference is Rank 1 – Power Output (MW) – PO (70.81%), Rank 2 – Heat Rate (Btu/kWh) – HR (14.91%), Operating Ratio (%) – OR (8.06%) and Rank 4 – Capacity Factor (%) – CF (6.22%).

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