Papers Submitted to WSEAS Conferences and WSEAS Journals: Wseas Transactions

Wednesday, 28 July 2010

Wseas Transactions

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The following information was submitted:

Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 88-282
Full Name: Roberto Revetria
Position: Associate Professor
Age: ON
Sex: Male
Address: Via Opera Pia 15
Country: ITALY
Tel: 0039-320-7982156
Tel prefix:
Fax: 0039-010-317750
E-mail address: roberto.revetria@unige.it
Other E-mails:
Title of the Paper: Two Methodologies to Support Gas Turbine Power Plant Availabilty Estimation: Design of Experiment and Montecarlo Simulation
Authors as they appear in the Paper: Enrico Briano, Claudia Caballini, Pietro Giribone, Roberto Revetria
Email addresses of all the authors: enrico.briano@dipconsortium.org; claudia.caballini@cieli.unige.it; piero@itim.unige.it; roberto.revetria@unige.it
Number of paper pages: 11
Abstract: Maintenance is an important aspect in order to guarantee the efficiency of industrial facilities. For power plants the high availability ratios can be obtained only with preventive maintenance but the result costs increases rapidly. In order to reduce the cost level of the maintenance activity, on-condition maintenance is carried out on an increasing subset of components. Only using appropriate reliability models can identify the optimal mix between preventive and on-condition maintenance. Some time the data required by such models are inadequate or missing and the performances of the implemented system can fall quite rapidly. The authors propose an innovative approach based on a hierarchical Montecarlo simulator able to estimate properly the power plant reliability and, at the same time, improve its performances by a fine-tuning of its parameters. A real life case study is than presented and discussed, even with economical consideration.
Keywords: Reliability, Fuzzy Logic, Model Estimation, Montecarlo Simulation, Design of Experiment
EXTENSION of the file: .doc
Special (Invited) Session: Design of Experiment and Montecarlo Simulation as Support for Gas Turbine Power Plant Availability Estimation
Organizer of the Session: 645-189
How Did you learn about congress:
IP ADDRESS: 79.25.124.140

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