: A RISK BASED MAINTENANCE APPROACH FOR WATER TREATMENT PLANTS
Rasha Moawad Ahmed Abd El Maksoud;
Abstract
Summary:
Water Treatment plants are deemed important fundamentals for human living and development. They receive considerable attention to ensure they have steady performance under a lot of conditions. There are many causes of failures that occur in water treatment plants. The most important of these, are the inefficiency of the plant in producing the quantities of water that have the required quality of water standard specifications. Therefore, it is important to develop methods that reduce errors which may have a negative impact on consumer health and the environment. This can be done by identifying the various dangerous events that may have an impact on the service, and the associated risks. This research aimed to present an approach which used in maintenance of WTP. For that this research passed on three main phases. First phase, the risk factors on WTP maintenance process are identified in the first phase through the use of expert opinions as well as previous research in the same field. This phase resulted in the presence of 20 risk factor with high impact on WTP maintenance process which lead to major 12 events for WTP failure. Second phase, analyses the reasons for water treatment plants failure based on the analysis of the reasons using Fault Tree Analysis. Qualitative analysis was used to achieve 33 basic events that lead to 12 minimal sets of fault tree analysis data representing the minimum plant failure probability. The research proposes a new method combining diverse experts with a range of theories to assess the probability of events in order to avoid the problem of lack of precision that will be faced when assessing the basic events. The data are used to determine the likelihood of a fault tree. Probabilities of the top event (TE) and the basic events (BEs) are calculated using Boolean relationships. After ranking all risks, the research reveals that the failure of the electrical system is the most critical risk based on the probabilities of basic events, which has a high probability (0.037) with a high impact in the occurrence of failure. Third phase, providing a method for linking equipment maintenance information within water treatment plants with the point cloud which results from 3D laser scanning of the plant. The methodology automates the exchange of information for three-dimensional computer-aided design objects from 3D site laser scans.
Equipment information is clustered, according to maintenance intervals, into daily, weekly, monthly, and annually maintenance plans. The proposed method was applied on the Sixth of October Water Treatment Plant as a case study to illustrate the benefits of using laser scanning technology in facility management.
Water Treatment plants are deemed important fundamentals for human living and development. They receive considerable attention to ensure they have steady performance under a lot of conditions. There are many causes of failures that occur in water treatment plants. The most important of these, are the inefficiency of the plant in producing the quantities of water that have the required quality of water standard specifications. Therefore, it is important to develop methods that reduce errors which may have a negative impact on consumer health and the environment. This can be done by identifying the various dangerous events that may have an impact on the service, and the associated risks. This research aimed to present an approach which used in maintenance of WTP. For that this research passed on three main phases. First phase, the risk factors on WTP maintenance process are identified in the first phase through the use of expert opinions as well as previous research in the same field. This phase resulted in the presence of 20 risk factor with high impact on WTP maintenance process which lead to major 12 events for WTP failure. Second phase, analyses the reasons for water treatment plants failure based on the analysis of the reasons using Fault Tree Analysis. Qualitative analysis was used to achieve 33 basic events that lead to 12 minimal sets of fault tree analysis data representing the minimum plant failure probability. The research proposes a new method combining diverse experts with a range of theories to assess the probability of events in order to avoid the problem of lack of precision that will be faced when assessing the basic events. The data are used to determine the likelihood of a fault tree. Probabilities of the top event (TE) and the basic events (BEs) are calculated using Boolean relationships. After ranking all risks, the research reveals that the failure of the electrical system is the most critical risk based on the probabilities of basic events, which has a high probability (0.037) with a high impact in the occurrence of failure. Third phase, providing a method for linking equipment maintenance information within water treatment plants with the point cloud which results from 3D laser scanning of the plant. The methodology automates the exchange of information for three-dimensional computer-aided design objects from 3D site laser scans.
Equipment information is clustered, according to maintenance intervals, into daily, weekly, monthly, and annually maintenance plans. The proposed method was applied on the Sixth of October Water Treatment Plant as a case study to illustrate the benefits of using laser scanning technology in facility management.
Other data
| Title | : A RISK BASED MAINTENANCE APPROACH FOR WATER TREATMENT PLANTS | Other Titles | صيانة محطات تنقية المياه باستخدام منهجية اعتبارات المخاطر | Authors | Rasha Moawad Ahmed Abd El Maksoud | Issue Date | 2018 |
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