MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis

Zhang, Chunchao; Zhou, Zhijie; Ning, Pengyun; Zhang, Peng; Lian, Zheng; Ming, Zhichao

doi:10.1016/j.engappai.2024.108598

Engineering Applications of Artificial Intelligence

2024

DOI: 10.1016/j.engappai.2024.108598

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MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis

Chunchao Zhang,

Zhijie Zhou,

Pengyun Ning

et al.

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Cited by 3 publications

References 39 publications

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A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

Zhang,

Qu,

Liu

et al. 2024

Energy Science & Engineering

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The state‐of‐health (SOH) assessment of lithium‐ion batteries is critical to the development and optimization of maintenance strategies. To ensure the accuracy of the assessment results, it must not only address a variety of uncertainties but also rationalize and transparently conduct the assessment process, as well as make the results interpretable and traceable. These requirements are necessary to ensure that the battery operates safely and steadily. As an interpretable modeling method, belief rule base (BRB) has been widely used in lithium‐ion battery SOH assessment. However, current BRB‐based models face two problems: (1) The initial reference values provided by experts often have limited accuracy due to complex internal chemistry. (2) The multidimensionality of the parameters in the interpretable optimization process and the differences in their properties should be fully considered. Therefore, this paper proposes a new SOH assessment model for lithium‐ion batteries based on an interpretable BRB with multidimensional adaptability optimization (IBRB‐mao). First, an interpretable knowledge and data dual‐driven reference value generation method is proposed to address the issue of imprecise reference values. Expert knowledge is maintained when generating reference values using this method. Second, two interpretable multidimensional constraint strategies are proposed to ensure interpretability in the optimization process. Finally, the NASA lithium‐ion battery data set is taken as a case study to validate the effectiveness of the proposed method.

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A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

Zhang,

Qu,

Liu

et al. 2024

Energy Science & Engineering

View full text Add to dashboard Cite

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A new interpretable behavior prediction method based on belief rule base with rule reliability measurement

Zhang,

He,

Zhou

et al. 2025

Reliability Engineering & System Safety

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A New Method Based on Belief Rule Base with Balanced Accuracy and Interpretability for Student Achievement Prediction

Zhang,

Deng,

et al. 2024

Mathematics

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In the field of education, the accurate prediction of students’ future performance is essential for personalized instruction and efficient allocation of resources. Such predictions not only help education professionals develop targeted educational strategies but also identify students’ learning needs at an early stage so that timely interventions and support can be provided. To gain the trust of educational experts and ensure the practical application value of the prediction results, the prediction methods used must be highly interpretable. However, there are two problems with the current belief rule base (BRB) applied to student performance prediction. First, there is a current lack of effective strategies for enhancing the interpretability of the optimization process. Second, BRB models that overemphasize accuracy tend to exhibit characteristics of black-box models. To overcome these challenges, this paper proposes a new method based on BRB with balanced accuracy and interpretability (BRB-Bai) for student achievement prediction. First, an attribute selection method is proposed to filter out important features associated with student performance. Then, expert knowledge credibility is calculated, and four interpretability strategies are proposed to ensure the interpretability of the model and to achieve a balance between interpretability and accuracy on the basis of expert knowledge credibility. The effectiveness of the proposed model is demonstrated by conducting experiments on the student achievement dataset.

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MBRB: Micro-belief rule Base model based on cautious conjunctive rule for interpretable fault diagnosis

Cited by 3 publications

References 39 publications

A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

A New Interpretable State‐of‐Health Assessment Model for Lithium‐Ion Batteries With Multidimensional Adaptability Optimization

A new interpretable behavior prediction method based on belief rule base with rule reliability measurement

A New Method Based on Belief Rule Base with Balanced Accuracy and Interpretability for Student Achievement Prediction

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