An Online Quantified Safety Assessment Method for Train Service State Based on Safety Region Estimation and Hybrid Intelligence Technologies

Facing the important issues of safety analysis and assessment for the train service state, an online quantified safety assessment method based on the safety region estimation and hybrid intelligence technologies was proposed in this paper. First, the previous researches on the safety analysis and assessment were briefly reviewed for the train itself and its key equipment, and the existential problems were further pointed out. Then, using the safety monitoring data and the safety region estimation theory, a new online safety assessment method with data-driven was put forward, which was followed by a detailed description of the concrete implementation steps including the EMD (Local Mean Decomposition) and EM (Energy Moment) based safety risk evaluation index selection, Interval Type 2 Fuzzy C-Means (IT2FCM) clustering based safety region boundary calculation modeling and safety risk grading. Finally, in order to verify its performance through experiments, the above method was applied in analyzing and evaluating service states of the rolling bearings, the key equipment of the train, on the basis of mass field data. The experimental results indicate that this method is valid.

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Transient Analysis and Safety Assessment of Turbofan Engine Structures during Bird Ingestion

International Journal of Aerospace Engineering ◽

10.1155/2020/7404587 ◽

2020 ◽

Vol 2020 ◽

pp. 1-17

Author(s):

Gang Luo ◽

Chi Ma ◽

Wei Chen ◽

Lulu Liu ◽

Zhenhua Zhao

Keyword(s):

Transient Analysis ◽

Safety Assessment ◽

Safety Analysis ◽

Assessment Method ◽

Dynamic Responses ◽

Structural Safety ◽

Turbofan Engine ◽

Load Carrying ◽

Large Bird ◽

Bypass Ratio

The high bypass ratio turbofan engine’s load-carrying structure transient response during bird ingestion was analyzed in accordance with the engine bird ingestion certification regulations, the principles of structural safety assessment were represented, and the structural safety analysis and assessment method of Turbo-Fan engine during bird ingestion were proposed. A high bypass ratio turbofan engine’s FEM was established and verified the rationality when its’ operation. Large bird ingestion into an engine’s procedure was conducted, the dynamic responses of key components on engine’s load-carrying structures during the bird ingestion were discussed, and the safety assessment consequence was obtained. We draw a conclusion that the relevant analysis/simulation data could be submitted to engine certification administration as key documents, the structural safety analysis and assessment method of turbofan engine due to bird ingestion could be applied as analysis and prediction work in the engine bird ingestion certification.

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An Adoptable Multi-Criteria Decision-Making Analysis to Select a Best Hair Mask Product-Extended Weighted Aggregated Sum Product Assessment Method

International Journal of Computational Intelligence Systems ◽

10.1007/s44196-021-00007-y ◽

2021 ◽

Vol 14 (1) ◽

Author(s):

Samayan Narayanamoorthy ◽

J. V. Brainy ◽

Thangaraj Manirathinam ◽

Samayan Kalaiselvan ◽

Joseph Varghese Kureethara ◽

...

Keyword(s):

Decision Making ◽

Set Theory ◽

Fuzzy Set ◽

Assessment Method ◽

Entropy Method ◽

Multi Criteria Decision Making ◽

Product Assessment ◽

Interval Type ◽

Real World Problems

AbstractHair masks (HMs) act as one of the solutions for most of the hair problems like dandruff, frizziness, breakage, premature- greying and so on. Due to its various benefits, HM products are acquiring more popularity among the individuals. As there are different varieties of HM products available in the market, the confusion arises in choosing a HM which suits the individual’s hair profile and causes less side effects. Here, we have employed multi-criteria decision-making (MCDM) combined with fuzzy set theory to obtain better results. We used the extended Weighted Aggregated Sum Product Assessment (WASPAS) method based on trapezoidal interval type-2 fuzzy set (TIT2FS) in this research paper to handle vagueness and complexity in real-world problems. For determining the objective weights of the criteria, we used the entropy method of weight finding. An example of selecting a hair mask product (HMP) among four alternatives based on five criteria is provided to illustrate the applicability of the proposed method. In comparison to other MCDM methods, the approach yielded more practical results. By doing a sensitive study, the method’s stability is also assessed.

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Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries

Soft Computing ◽

10.1007/s00500-017-2860-8 ◽

2017 ◽

Vol 23 (2) ◽

pp. 557-567 ◽

Cited By ~ 13

Author(s):

Dipak Kumar Jana ◽

Sutapa Pramanik ◽

Palash Sahoo ◽

Anupam Mukherjee

Keyword(s):

Fuzzy Logic ◽

Occupational Safety ◽

Safety Risk ◽

Interval Type

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Bayesian Network Assessment Method for Civil Aviation Safety Based on Flight Delays

Mathematical Problems in Engineering ◽

10.1155/2013/594187 ◽

2013 ◽

Vol 2013 ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

Huawei Wang ◽

Jun Gao

Keyword(s):

Safety Assessment ◽

Aviation Safety ◽

Assessment Method ◽

Assessment Model ◽

Civil Aviation ◽

Flight Delays ◽

Safety Hazard ◽

Safety Risk ◽

Potential Safety ◽

Flight Delay

Flight delays and safety are the principal contradictions in the sound development of civil aviation. Flight delays often come up and induce civil aviation safety risk simultaneously. Based on flight delays, the random characteristics of civil aviation safety risk are analyzed. Flight delays have been deemed to a potential safety hazard. The change rules and characteristics of civil aviation safety risk based on flight delays have been analyzed. Bayesian networks (BN) have been used to build the aviation operation safety assessment model based on flight delay. The structure and parameters learning of the model have been researched. By using BN model, some airline in China has been selected to assess safety risk of civil aviation. The civil aviation safety risk of BN model has been assessed by GeNIe software. The research results show that flight delay, which increases the safety risk of civil aviation, can be seen as incremental safety risk. The effectiveness and correctness of the model have been tested and verified.

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Influence of different fuzzy operators on analytical structure and variable gains of typical interval type-2 fuzzy PI controller

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-200334 ◽

2020 ◽

Vol 39 (3) ◽

pp. 4319-4329

Author(s):

Haibo Zhou ◽

Chaolong Zhang ◽

Shuaixia Tan ◽

Yu Dai ◽

Ji’an Duan ◽

...

Keyword(s):

Pi Controller ◽

Real Time Control ◽

Fuzzy Operators ◽

Fuzzy Operator ◽

Analytical Structure ◽

Product Operator ◽

Pi Controllers ◽

Fuzzy Pi Controller ◽

Interval Type

The fuzzy operator is one of the most important elements affecting the control performance of interval type-2 (IT2) fuzzy proportional-integral (PI) controllers. At present, the most popular fuzzy operators are product fuzzy operator and min() operator. However, the influence of these two different types of fuzzy operators on the IT2 fuzzy PI controllers is not clear. In this research, by studying the derived analytical structure of an IT2 fuzzy PI controller using typical configurations, it is proved mathematically that the variable gains, i.e., proportional and integral gains of typical IT2 fuzzy PI controllers using the min() operator are smaller than those using the product operator. Moreover, the study highlights that unlike the controllers based on the product operator, the controllers based on the min() operator have a simple analytical structure but provide more control laws. Real-time control experiments on a linear motor validate the theoretical results.

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