Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

Gao, Dong; Chong-guang, WU; Zhang, Beike; Ma, Xin

doi:10.1016/s1004-9541(08)60352-3

Cited by 51 publications

(20 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, an integrated SDG and QTA framework was proposed in [13] for incipient fault diagnosis by combining the completeness property of SDG and the high diagnostic resolution property of QTA. In [14], a SDG-QTA fault diagnosis approach was addressed for a distillation power unit, which not only met fundamental requirements of diagnosis such as correctness, completeness and real-timed, but also provided a good resolution.…”

Section: A Qualitative Knowledge-based Fault Diagnosismentioning

confidence: 99%

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

Gao

Cecati

Ding

2015

IEEE Trans. Ind. Electron.

368

268

View full text Add to dashboard Cite

This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed respectively from the knowledge-based and hybrid/active viewpoints. With the aid of the first-part survey paper, the second-part review paper completes a whole overview on the fault diagnosis techniques and their applications. Comments on advantages and constraints of various diagnosis techniques, including model-based, signalbased, knowledge-based, and hybrid/active diagnosis techniques, are also given. An overlook on the future development of the fault diagnosis is presented.

show abstract

Section: A Qualitative Knowledge-based Fault Diagnosismentioning

confidence: 99%

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

Gao

Cecati

Ding

2015

IEEE Trans. Ind. Electron.

368

268

View full text Add to dashboard Cite

show abstract

“…Through the method based on experiential knowledge or mathematical model to get the constraint relations among variables [14], to determine the qualitative influence among variables is actually to determine the state of SDG branch, and then the influence relationship among variables can be described clearly.…”

Section: Sdg Modelmentioning

confidence: 99%

Research on SDG-Based Qualitative Reasoning in Conceptual Design

Zhou

Wei

et al. 2013

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Conceptual design is the initial stage throughout the product life cycle, whose main purposes include function creation, function decomposition, and function and subfunction designs. At this stage, the information about product function and structure has the characteristics of imprecision, incompleteness, being qualitative, and so forth, which will affect the validity of conceptual design. In this paper, the signed directed graph is used to reveal the inherent causal relationship and interactions among the variables and find qualitative interactions between design variables and design purpose with the help of causal sequence analysis and constraint propagation. In the case of incomplete information, qualitative reasoning, which has the function of qualitative behavior prediction, can improve conceptual design level aided by the computer. To some extent, qualitative reasoning plays a supplementary role in evaluating scheme and predicting function. At last, with the problem of planar four-bar mechanism design, a qualitative reasoning flowchart based on the Signed Directed Graph is introduced, and an analysis is made of how to adjust design parameters to make the trajectory of a moving point reach to the predetermined position so as to meet the design requirements and achieve the effect that aided designers expect in conceptual design.

show abstract

“…Bond graphs [17] and their extension, temporal causal graphs [18], use different symbols to further describe dynamic characteristics. More precisely, qualitative transfer functions [19], differential equations [20], and trend analysis [21,22] have been integrated into causal graphs, and complex algorithms are introduced to improve their correctness [23]. Similar or improved approaches were investigated by many researchers [24][25][26][27].…”

Section: Other Causalmentioning

confidence: 99%

Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes

Yang

Xiao

2012

Journal of Control Science and Engineering

View full text Add to dashboard Cite

In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local models. Process topology and causality, as the key features of the process description, need to be captured from process knowledge and process data. The modelling methods from these two aspects are overviewed in this paper. From process knowledge, structural equation modelling, various causal graphs, rule-based models, and ontological models are summarized. From process data, cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian nets are introduced. Based on these models, inference methods are discussed to find root causes and fault propagation paths under abnormal situations. Some future work is proposed in the end.

show abstract

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

Cited by 51 publications

References 28 publications

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

Research on SDG-Based Qualitative Reasoning in Conceptual Design

Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes

Contact Info

Product

Resources

About