The Experts below are selected from a list of 8220 Experts worldwide ranked by ideXlab platform
Peter J Coombes - One of the best experts on this subject based on the ideXlab platform.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
Novi Dian Natasha - One of the best experts on this subject based on the ideXlab platform.
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the Asset inventory maintenance system using the genetic algorithm method at the national university Asset inventory maintenance system using the genetic algorithm method at the national university
Jurnal Mantik, 2020Co-Authors: Iqbal Fajar Afrian, Moh Iwan Wahyuddin, Novi Dian NatashaAbstract:Scheduling the maintenance of Asset inventory is very important in increasing effectiveness and work efficiency. National University has fixed Assets as supporting lectures such as computers, air conditioners, printers, projectors, and others. However, the Asset inventory management at the National University has not yet reached effectiveness and good efficiency, the National University does not yet have a special Asset Database to facilitate scheduling and improvement in maintaining Asset inventory. This makes it difficult to track down Asset damage. This problem often makes it difficult for Asset managers at the National University to know the condition of the Assets, whether damaged or lost. That makes Asset management not good. Therefore, a system that can run an Asset management business process is neat and structured so that Asset managers can easily manage maintenance maintenance and repair Assets. The design process uses the Genetic Algorithm method. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University
Tom Micevski - One of the best experts on this subject based on the ideXlab platform.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
Iqbal Fajar Afrian - One of the best experts on this subject based on the ideXlab platform.
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the Asset inventory maintenance system using the genetic algorithm method at the national university Asset inventory maintenance system using the genetic algorithm method at the national university
Jurnal Mantik, 2020Co-Authors: Iqbal Fajar Afrian, Moh Iwan Wahyuddin, Novi Dian NatashaAbstract:Scheduling the maintenance of Asset inventory is very important in increasing effectiveness and work efficiency. National University has fixed Assets as supporting lectures such as computers, air conditioners, printers, projectors, and others. However, the Asset inventory management at the National University has not yet reached effectiveness and good efficiency, the National University does not yet have a special Asset Database to facilitate scheduling and improvement in maintaining Asset inventory. This makes it difficult to track down Asset damage. This problem often makes it difficult for Asset managers at the National University to know the condition of the Assets, whether damaged or lost. That makes Asset management not good. Therefore, a system that can run an Asset management business process is neat and structured so that Asset managers can easily manage maintenance maintenance and repair Assets. The design process uses the Genetic Algorithm method. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University. it starts with identifying the Asset management system at the National University and creating a proposed new system. From the design stage, a website-based information system is produced to manage the scheduling and repair of Assets at the National University
George Kuczera - One of the best experts on this subject based on the ideXlab platform.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
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markov model for storm water pipe deterioration
Journal of Infrastructure Systems, 2002Co-Authors: Tom Micevski, George Kuczera, Peter J CoombesAbstract:Effective management of storm water pipe networks requires an accurate assessment of the structural condition of the pipes. Indeed, the recent introduction of Australian accounting standard AAS27 compels local governments to prepare annual financial statements, including the depreciated value of their storm water network. A rational approach to assessing depreciation is to base it on structural deterioration. This study presents a Markov model for the structural deterioration of storm water pipes. The model is calibrated, using Bayesian techniques, to structural condition data from the storm water Asset Database of the Newcastle City Council (Australia). It is shown that the Markov model is consistent with the data. The pipe characteristics of diameter, construction material, soil type, and exposure classification were found to influence the deterioration process. It is also shown that the depreciation methods required by AAS27 significantly overestimate the structural deterioration.
