Safety Analysis of Process Industry System Based on Complex Networks Theory

Jiang, Hongquan; Gao, Jianmin; Gao, Zhiyong; Guo, Li

doi:10.1109/icma.2007.4303590

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…network efficiency E 18 as shown in Equation 10 ) is used for assessment and comparisons here, where N is the number of nodes in the network, and d ij is the shortest distance between pairs of nodes in a network. Network Efficiency E 18 has been used to describe the performance of various kinds of networks 19 20 21 22 23 24 , as well as the performance of general complex networks 25 26 27 28 . Therefore, network efficiency is a popular metric to describe the network performance in the network science and engineering applications.…”

Section: Resultsmentioning

confidence: 99%

A new mutually reinforcing network node and link ranking algorithm

Wang

Dueñas‐Osorio

Padgett

2015

Sci Rep

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This study proposes a novel Normalized Wide network Ranking algorithm (NWRank) that has the advantage of ranking nodes and links of a network simultaneously. This algorithm combines the mutual reinforcement feature of Hypertext Induced Topic Selection (HITS) and the weight normalization feature of PageRank. Relative weights are assigned to links based on the degree of the adjacent neighbors and the Betweenness Centrality instead of assigning the same weight to every link as assumed in PageRank. Numerical experiment results show that NWRank performs consistently better than HITS, PageRank, eigenvector centrality, and edge betweenness from the perspective of network connectivity and approximate network flow, which is also supported by comparisons with the expensive N-1 benchmark removal criteria based on network efficiency. Furthermore, it can avoid some problems, such as the Tightly Knit Community effect, which exists in HITS. NWRank provides a new inexpensive way to rank nodes and links of a network, which has practical applications, particularly to prioritize resource allocation for upgrade of hierarchical and distributed networks, as well as to support decision making in the design of networks, where node and link importance depend on a balance of local and global integrity.

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Section: Resultsmentioning

confidence: 99%

A new mutually reinforcing network node and link ranking algorithm

Wang

Dueñas‐Osorio

Padgett

2015

Sci Rep

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“…Thus, a fully connected weight network is transformed into a complex network that is composed of measurement variables, and the relationships between different measured variables are built based on KCCA. To determine network properties and behaviors, Jiang et al [35] investigated the process industry system from a topological perspective. The node load [53] and efficiency [54] of the network based on the traditional topological features were introduced to the study of cascading failures.…”

Section: Dynamic Network Topological Featuresmentioning

confidence: 99%

“…As a natural structure, a complex network can represent many real-world systems [30], including the Internet [31], power networks [32], social networks [33], and traffic networks [34]. Jiang et al [35] introduced a new method for the safety analysis of process industry systems that is based on advances in complex networks. In Jiang's work, the node represents a device (e.g., reactor, compressor, etc.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of chemical industrial processes using integrated complex network theory with PCA

Cai

Liú

Liang

et al. 2015

Chemometrics and Intelligent Laboratory Systems

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“…Conventional industrial process safety analysis consists of qualitative methods like process hazards analysis (PHA), hazard and operability analysis (HAZOP), and failure mode and effects analysis (FMEA) − and quantitative approaches like fault tree analysis (FTA), , Markov analysis, and reliability block diagram . Recently, some interdisciplinary methods including Bayesian analysis, , complex networks, and fuzzy logic were adopted to assist the safety assessment. The detection and diagnosis of abnormal events has also been an active research area, − especially on the study of data driven methods. , The data driven approaches are usually termed as multivariate statistical process control (MSPC), which can avoid the extremely difficult and time-consuming work of constructing complex mechanistic models for industrial processes.…”

Section: Introductionmentioning

confidence: 99%

Online Probabilistic Assessment of Operating Performance Based on Safety and Optimality Indices for Multimode Industrial Processes

Liu

Fei

et al. 2009

Ind. Eng. Chem. Res.

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Operating performance of industrial process on safety and optimality may deteriorate with time due to process characteristic variation, and it is crucial to develop strategies for online operating performance assessment. Although there have been some studies and applications on process safety assessment, optimality assessment has not yet been paid sufficient attention. This paper proposes a probabilistic framework of online operating assessment for industrial processes. First, a Gaussian mixture model (GMM) is used to characterize multiple operating modes. Considering the distribution of process variables, safety and optimality indices (SI and OI) are defined and calculated by two successive nonlinear mappings. A hierarchical-level classification method is then presented to divide these indices into different performance levels, and margin analysis on each level is introduced. Finally, performance prediction and preliminary suggestions for improvement are provided. The proposed assessment strategy is then applied in two examples: Tennessee Eastman Process (TEP) and polypropylene (PP) production process, which indicate the efficiency of the proposed approach.

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Safety Analysis of Process Industry System Based on Complex Networks Theory

Cited by 12 publications

References 14 publications

A new mutually reinforcing network node and link ranking algorithm

A new mutually reinforcing network node and link ranking algorithm

Monitoring of chemical industrial processes using integrated complex network theory with PCA

Online Probabilistic Assessment of Operating Performance Based on Safety and Optimality Indices for Multimode Industrial Processes

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