A Novel Optimizable Inherent Safety Index Based on Fuzzy Logic

被引:1
作者
Vazquez, Daniel [1 ]
Ruiz-Femenia, Ruben [1 ]
Caballero, Jose A. [1 ]
机构
[1] Univ Alicante, Inst Chem Proc Engn, PO 99, E-3080 Alicante, Spain
来源
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A | 2019年 / 46卷
关键词
Inherent Safety; Fuzzy Logic; Optimization;
D O I
10.1016/B978-0-12-18634-3.50094-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In our days, the concept of inherent safety is gaining popularity thanks to its ability to assess the safety level of a plant at an early design stage. Hence, safety can be considered one of the core design principles, instead of a post-design add-on. In this work, we propose a novel index to assess the inherent safety level of a design. This index is based on the principles of fuzzy logic, which allow the user to shift the importance in the safety criteria easily, and its main objectives is to provide an optimizable framework. In order to achieve an optimizable fuzzy index, some concessions must be made in its methodology. As such, the presented index is not as quantitative as other safety indexes. However, this shortcoming is compensated with the comparative ability and modifiability that this index provides the decision maker with. As a conclusion, we showcase the ability of this novel index in assessing the inherent safety level of an example case.
引用
收藏
页码:559 / 564
页数:6
相关论文
共 50 条
  • [41] An Integrated Risk Index Model Based on Hierarchical Fuzzy Logic for Underground Risk Assessment
    Fayaz, Muhammad
    Ullah, Israr
    Park, Dong-Hwan
    Kim, Kwangsoo
    Kim, DoHyeun
    APPLIED SCIENCES-BASEL, 2017, 7 (10):
  • [42] A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME
    Santiago, Alejandro
    Dorronsoro, Bernabe
    Nebro, Antonio J.
    Durillo, Juan J.
    Castillo, Oscar
    Fraire, Hector J.
    INFORMATION SCIENCES, 2019, 471 : 233 - 251
  • [43] INHERENT SAFETY INDEX FOR PROTON MEMBRANE FUEL CELL VEHICLE SYSTEM
    Nordin, Nazatul Niza
    Ali, Mohamad Wijayanuddin
    Asli, Umi Aisah
    Ahmad, Arshad
    Kidam, Kamarizan
    JURNAL TEKNOLOGI, 2016, 78 (8-3): : 117 - 126
  • [44] Configuration of Harmony Search Parameters based on Fuzzy Logic
    Centeno, Alejandro
    Bolivar, Alejandro
    Rey, Demetrio
    Arteaga, Francisco
    Seijas, Cesar
    Almarza M, Angel D.
    INGENIERIA UC, 2019, 26 (01): : 61 - 71
  • [45] Adaptive Penalty and Barrier function based on Fuzzy Logic
    Matias, Joao
    Correia, Aldina
    Mestre, Pedro
    Serodio, Carlos
    Couto, Pedro
    Teixeira, Christophe
    Melo-Pinto, Pedro
    EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (19) : 6777 - 6783
  • [46] Assessment of river recreation safety using hydrodynamic model and fuzzy logic: A spatial river recreational index approach
    Kwon, Siyoon
    Seo, Il Won
    Kim, Byunguk
    Jung, Sung Hyun
    Kim, Young Do
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2024, 55 : 30 - 45
  • [47] Fire Controller System Using Fuzzy Logic for Safety
    Kausar, Mobeen
    Sarwar, Barera
    Ashfaq, Aimen
    INTELLIGENT TECHNOLOGIES AND APPLICATIONS, INTAP 2018, 2019, 932 : 691 - 697
  • [48] A fuzzy rule-based safety index for landing site risk assessment
    Howard, A
    Seraji, H
    ROBOTICS, AUTOMATION AND CONTROL AND MANUFACTURING: TRENDS, PRINCIPLES AND APPLICATIONS, 2002, 14 : 579 - 584
  • [49] Fuzzy Logic-Based Novel Hybrid Fuel Framework for Modern Vehicles
    Sarwar, Muhammad Hamza
    Shah, Munam Ali
    Ul Islam, Saif
    Maple, Carsten
    Rodrigues, Joel J. P. C.
    Alaulamie, Abdullah A.
    Mussadiq, Shafaq
    Tariq, Usman
    Asghar, Muhammad Nabeel
    IEEE ACCESS, 2020, 8 : 160596 - 160606
  • [50] A novel method for forecasting time series based on fuzzy logic and visibility graph
    Zhang, Rong
    Ashuri, Baabak
    Deng, Yong
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2017, 11 (04) : 759 - 783