Third-Party Damage Model for Gas Distribution Pipelines

2018 ◽  
Author(s):  
Joseph S. Santarelli ◽  
Wenxing Zhou ◽  
Carrie Dudley-Tatsu
Keyword(s):  
Emergency Preparedness ◽  
Damage Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Probability Of Failure ◽  
Boolean Logic ◽  
Third Party ◽  
Prevention Measures ◽  
Tree Model ◽  
Economic Implications

Third-party damage (TPD) is any damage to underground infrastructure that occurs during work unrelated to the asset. In 2015, there were 10,107 TPD incidents in Canada causing over a billion dollars in estimated damage. TPD is the leading cause of failure for distribution gas pipelines; since distribution pipelines are generally located in areas with high population densities, TPD has significant safety and economic implications. In this study, a probabilistic model is developed to qualify the probability of failure of distribution pipelines due to TPD. The model consists of a fault tree model to quantify the probability of hit given the occurrence of third-party excavation activities and the methodology to evaluate the probability of failure given hit. Fault tree analysis (FTA) is a top down, deductive failure analysis method which uses Boolean logic to combine a series of basic events to analyze the state of a system. Earlier prior research demonstrated the ability of a FTA to quantify the probability of TPD occurring on natural gas transmission pipeline systems. These models allow for a quantitative analysis of preventative measures and, in conjunction with current practices, facilitate a predictive method to plan and optimize resource allocation for damage mitigation and emergency preparedness. The developed TPD model is validated using the data provided from a region in Southwest Ontario. The model will provide distribution companies with a practical tool to identify third-party damage hot spots, develop proactive third-party damage prevention measures, and prioritize damage repair activities using a risk-based approach.

Analyzing the Effectiveness of Prevention Measures for Third-Party Damage to Underground Pipelines Using a Hierarchical Fault Tree Model

2016 ◽  
Author(s):  
Dongliang Lu ◽  
Mark Stephens
Keyword(s):  
Data Collection ◽  
Management Practices ◽  
Fault Tree ◽  
Mechanical Damage ◽  
Third Party ◽  
Weak Links ◽  
Prevention Measures ◽  
Tree Model ◽  
Underground Pipelines ◽  
Damage Prevention

This paper presents a hierarchical fault tree model for analyzing the effectiveness of measures for the prevention of third-party mechanical damage to underground pipelines. The model consists of a high level failure model that provides an overall indication of the effectiveness of a damage prevention program; and lower level fault tree models that detail the effectiveness of individual damage prevention measures. The model developed in this paper is consistent with current damage prevention and data collection practices, and it presents information in a simple and intuitive format that facilitates analysis and interpretation. The hierarchical fault tree approach developed in this paper is shown to be a useful tool for evaluating the effectiveness of various measures to prevent third-party damage and for identifying weak links in current damage management practices. It can also serve to inform the development of new damage prevention techniques and to identify information priorities relevant for future data collection and interpretation efforts aimed at reducing the frequency of third-party damage events.

Fault Tree Analysis on Hydraulic System Causing Fire of Heavy Self-Dumping Truck

2012 ◽  
Vol 619 ◽  
pp. 425-430
Author(s):  
Chang Su ◽  
Wei Jia Su
Keyword(s):  
Hydraulic System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Spare Parts ◽  
Mine Safety ◽  
Prevention Measures ◽  
Oil Leakage ◽  
Spare Parts Management ◽  
Safety Production ◽  
Fire Accident

The fire accident of heavy mineral self-dumping truck is one of the most serious disaster in mine safety production. Research on the reasons that cause fire accident is an important study for ensuring safety production. By analyzing three elements that constitute self-dumping truck fire accident, the characteristics and easy ignition points as well as major combustion parts of self-dumping truck fire accident, we confirm that the hydraulic system leakage is the major factor that causes fire. To find out the fault reason of hydraulic system oil leakage, we analyze the composition and working principle of self-dumping truck, establish leakage fault tree of hydraulic system. Based on logic relationships between each fault and fire, we get the following conclusion: hydraulic tubing damage is the highest probability event that causes oil leakage fault. In addition, we should pay attention to spare parts management factor, correct driving factor and equipment management factor. We also propose the prevention measures of leakage and fire

scholarly journals Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library

Information ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 283 ◽  
Author(s):  
Chiacchio ◽  
Aizpurua ◽  
Compagno ◽  
Khodayee ◽  
D’Urso
Keyword(s):  
Deterministic Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Object Oriented ◽  
Software Library ◽  
Tree Model ◽  
Dynamic Reliability ◽  
Simulink Model ◽  
Dynamic Fault Tree ◽  
Dependability Analysis

Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three different case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models.

Predicting the probability of failure of timber bridges using fault tree analysis

2019 ◽  
Vol 15 (6) ◽  
pp. 783-797 ◽  
Author(s):  
Weena Lokuge ◽  
Matthew Wilson ◽  
Huu Tran ◽  
Sujeeva Setunge
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Probability Of Failure ◽  
Tree Analysis ◽  
Timber Bridges

The Application of Fault Tree Analysis in the Safety Performance of Cutter Suction Dredger

2013 ◽  
Vol 405-408 ◽  
pp. 3298-3301
Author(s):  
Yu Gang Zhou ◽  
Huan Min Xu
Keyword(s):  
Failure Probability ◽  
Land Reclamation ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Production Capacity ◽  
Product Configuration ◽  
Tree Model ◽  
Tree Analysis ◽  
Basic Probability ◽  
Key Events

Cutter suction dredgers (CSD) play a major part in the field of dredging engineering in harbors, fairways, and land reclamation. CSD can continuously mine and transport the slop with good quality while CSD can tackle many types of soil. However, even a component failure, which is connected with parts and components of CSD, can result in no working. Thus, it affects the production capacity and efficiency of dredgers seriously. It is necessary to analyze the failure probability of CSD. The method of Fault Tree Analysis (FTA) is applied to analyze the failure probability of CSD. The method uses logical reasoning and builds a fault tree model by analyzing the relationship between the basic, intermediate and top events. Based on fault tree model of a variety of events " and " " or " relationship, we can obtain minimal cut sets of that cause the event to failure. Then, get the basic probability of the event. Finally, we can calculate the probability of the top events. Under experiments, the FTA method can accurately calculate the failure probability of CSD, and deduce in reverse order the key events that cause the top event. The study on the key events can reduce the failure probability of CSD, enhance its reliability and safety, and improve the efficiency and productivity indirectly. It will also lay a foundation for product configuration optimization.

Third-Party Damage Factors Analysis and Control Measures of Daqing-Harbin Oil Pipeline

2013 ◽  
Vol 411-414 ◽  
pp. 2527-2532 ◽  
Author(s):  
Li Xin Wei ◽  
Li Yan Han
Keyword(s):  
Fault Tree ◽  
Control Measures ◽  
Third Party ◽  
Tree Model ◽  
Legal Concept ◽  
Oil Pipeline ◽  
The Third ◽  
Pipeline Failure ◽  
Main Factors ◽  
The Third Party

The third-party damage is the main factor of Daqing-Harbin oil pipeline failure. This paper analyzes a variety of factors causing the third-party damage, and establishes the fault tree model. By analyzing the minimal cut set and structures importance degree of fault tree, the main factors of the third-party damage that caused pipeline failure are determined. The main factors are as follows: Lack of pipeline conditions, human vandalism, the frequency of line patrol and management systems, lack of public education and the legal concept, and construction operation injury. On the basis of analyzing the factors, the precautions of the third-party interference are proposed.

scholarly journals Fuzzy Fault Tree Reliability Analysis Based on Improved T–S Model with Application to NC Turret

2021 ◽  
Author(s):  
Yue Wu ◽  
Zhaojun Yang ◽  
Jili Wang ◽  
Wei Hu ◽  
N. Balakrishnan
Keyword(s):  
Preventive Maintenance ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Weak Links ◽  
Tree Model ◽  
Importance Index ◽  
Fuzzy Fault Tree Analysis ◽  
Importance Analysis ◽  
Mc Simulation ◽  
S Model

Abstract In Takagi and Sugeno (T–S) fuzzy fault tree analysis (FFTA), the construction of T-S fuzzy gates relies too much on expert experience, which will result in inevitable subjective errors. In order to overcome this disadvantage, a new method was proposed which combined importance index with T-S fuzzy fault tree model to evaluate reliability of the events. The importance index of components can be solved through Monte Carlo (MC) simulation. The proposed method is suitable for systems where exact information on the fault probabilities of the components and the magnitude of failure and effect on system are not available. The concept and calculation method of T-S probability importance was presented. Finally, the feasibility of the method is verified by analyzing the reliability of the sealing subsystem of the NC turret and the weak links of the system are obtained by the importance analysis, which will provide data for system fault diagnosis and preventive maintenance.

Domain Names Based on Fault Tree Analysis

2014 ◽  
Vol 667 ◽  
pp. 143-148
Author(s):  
Ning Zhang ◽  
Le Jun Chi ◽  
Hai Yan Xu
Keyword(s):  
Analytical Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fault Model ◽  
Tree Model ◽  
Domain Name ◽  
Tree Analysis ◽  
Domain Names ◽  
Domain Name Server ◽  
Relationship Of

The success rate of domain name resolution has a direct influence on the service of DNS. Analytical performance of DNS server is the key to measure the satisfaction degree of users when they access to the network. This article establishes the dependence model for the domain name server. In order to get DNS fault model and analytical model, this article uses Fault Tree Analysis theory to describe the relationship of tree basic events and target events of fault tree of dependency. On the basis of fault tree model, dependencies of domain names are qualitative analyzed, including number of sets and element composition of fault model and analytical model. This study provided a theoretical basis for DNS dependencies and technical support for the DNS vulnerability analysis. It has a great importance for domain name system security.

Stress Management in Rock Drivage Team Based on Fault Tree Analysis Method

2014 ◽  
Vol 919-921 ◽  
pp. 873-877
Author(s):  
Ren Liang Shan ◽  
Shao Hua Dong ◽  
Bao Long Huang ◽  
Fei Huang ◽  
Shu Jing Wu ◽  
...  
Keyword(s):  
Stress Management ◽  
Effective Stress ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Analysis Method ◽  
Tree Model ◽  
Logical Relationship ◽  
Tree Analysis

In order to achieve effective stress management in rock drivage team, this paper use fault tree analysis method to build fault tree model for the stress management of rock borehole-blasting drivage team. Under this model, the stressor of rock drivage team is identified, the logical relationship between the stressor and work of errors in rock drivage team is analyzed, the corresponding recommendations for the stress management of coal companies are provided.

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