A new computational method for structural reliability with Big Data

Fang, Yongfeng; Tao, Wenliang; Tee, Kong Fah

doi:10.17531/ein.2019.1.18

Cited by 13 publications

(6 citation statements)

References 17 publications

(16 reference statements)

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“…Signalling systems are in continuous operation and there is a huge chance of breakdown. Therefore, inspection plays a very important role because inspection not only can reduce system downtime but also can increase system reliability [25,26]. In this paper, two main methods are recommended.…”

Section: Inspection Modelmentioning

confidence: 99%

Reliability and Inspection Modelling of Railway Signalling Systems

Kumar

Tee

2021

Modelling

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The railway is one of the most prominent models of transportation across the globe and it carries a large number of people, thus requiring high reliability, maintainability and safety. The reliability of railways mostly depends on an effective signalling system, making it one of the critical parts of railway operation. A signalling system is part of a large array of systems with interconnected components and subcomponents. Therefore, there is a need to make the signalling system more reliable and optimised with enhanced fault detection. Proper inspection and maintenance are required to make the signalling system reliable and safe. In this study, different inspection modelling techniques are applied to find the reliability of the signalling system. The signalling system has been divided into subsystems (signal unit, track unit, point-and-point machine) considering their importance and their effects on the failure rate of the entire signalling system. Inspection modelling of each subsystem has been conducted to provide the basis for the entire signalling system. A case study has been investigated to validate the model developed in one of the busiest tracks in eastern India. The obtained data thus are used to analyse the inspection pattern of signalling subsystems. Special attention to maintenance for inspection activities and logistics support has been taken into consideration, which is required to improve the reliability and maintainability of signalling subsystems and systems to make the railway signalling system sustainable in the long run.

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Section: Inspection Modelmentioning

confidence: 99%

Reliability and Inspection Modelling of Railway Signalling Systems

Kumar

Tee

2021

Modelling

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“…Such models are used in various fields, including engineering statistics, where it is also called the load-bearing capacity model [20], investment management [21], reliability analysis of complex architectural structures, in problems of analysis of supply and demand correspondence, including in the conditions of big data [22], as it is necessary to take into account data on vibrations, temperatures, reliability, seismic resistance of buildings, and so on.…”

Section: "Stress-strength" Modelsmentioning

confidence: 99%

Quality Assessment of "Stress-Strength" Models in the Conditions of Big Data

Buryi*,

Lomakin,

Sukhov

2020

IJITEE

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The conceptual approach to assessing the quality of complex structural systems based on the large data generated during the monitoring of structures of controlled objects is justified. The methodological basis of the proposed study is the big data analytics, the methods of processing unstructured information, the technology of representing the process of changing structures of complex objects in the form of a Markov's type sequence, as well as methods of statistical analysis. It is proposed: to structure monitoring data by time slices (in the form of subsets of "stress" level measurements of controlled parameters) corresponding to a certain stage of the object's life cycle; to simulate a change in the structure of an object in the form of a dichotomous Markov chain; on the basis of the "stress-strength" model, to evaluate probabilistic quality indicators of the structural state of the controlled object, while the indicator of the transition from state to state is the fact that the level of "stress" exceeds the value of "strength". The study of the "stress-strength" model is reduced to the problem of finding the extremum of a definite integral with equality constraints, which is one of the isoperimetric problems. The results can be used in decision support systems during the structural analysis of complex systems. The effectiveness of the investigation is confirmed by a numerical example.

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“…(6) The structure used to generate energy can be optimized by a second piezoelectric or generator beam shape (7) or components whose geometry is adapted to the mechanical vibration. (8,9) A piezoelectric beam generator based on a Macro Fiber Composite (MFC) has been developed as a self-powered vibration sensor. (10,11) It has been established that a self-powered wireless sensor can be used for monitoring to detect vibration-based structural damage.…”

Section: Introductionmentioning

confidence: 99%

Analytical Solution of Monomorph and Bimorph Piezoelectric Cantilever Beams

Fang¹,

Tee²,

Wen³

2021

Sensors and Materials

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A smart piezoelectric cantilever beam (SPCB) is often used to make self-powered vibration sensors. The structure of an SPCB is investigated in this study. The equation of the output voltage of an SPCB under vibration is established and the output voltage of the SPCB is analyzed. It is found that the output voltage of the SPCB has a positive proportional relationship with the displacement of its right end. The output voltage is also related to the piezoelectric fiber material (PFM), the electrode layer, and the thickness, width, and length of the SPCB.

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A new computational method for structural reliability with Big Data

Cited by 13 publications

References 17 publications

Reliability and Inspection Modelling of Railway Signalling Systems

Reliability and Inspection Modelling of Railway Signalling Systems

Quality Assessment of "Stress-Strength" Models in the Conditions of Big Data

Analytical Solution of Monomorph and Bimorph Piezoelectric Cantilever Beams

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