Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining

Abstract

This paper presents a fault early warning approach of coal mills based on the Thermodynamic Law and data mining. The Thermodynamic Law is used to describe the working characteristics of coal mills and to determine the multi-parameter vector that characterize the operating state of the coal mill. Data mining technology is applied to analysis the interrelationships among elements of the multi-parameter vector. Then the abnormal boundaries of parameters are calculated based on the distribution of parameters under different working conditions according to the Pauta criterion. Finally, the fault early warning model is implemented combining the abnormal boundaries and the confidence algorithm that can detect the working status of coal mills. Two actual numerical examples are used to illustrate the proposed method is capable of estimating the abnormality of coal mills before the fault happens.

Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

“…According to Figure 2, the accuracy of the e-banking business risk measurement of the method in this paper is up to 100%, which is higher than the e-banking business risk measurement accuracy of the method in literature [5] and the method in literature [6], which shows that the method in this paper is used in e-banking risk measurement.…”

“…According to Figure 3, the warning time of these three methods is almost the same when 0 < t < 30; however, when t > 30, it almost linearly increases. So we can draw that it can be seen that the time cost of using the method of this paper to carry out the risk warning of electronic banking is shorter than that of the method of literature [5] and the method of literature [6], indicating that the method of this paper has a stronger early warning capability. Method proposed in [5] Method proposed in [6] Method proposed in this paper…”

“…In order to further verify the effectiveness of the method in this paper, a comparative analysis of the e-banking risk warning time of the method in this paper, the method in literature [5], and the method in literature [6] is carried out. e comparison result is shown in Figure 3.…”

“…Most of the operational loss incidents are low-level loss incidents. Zhu et al proposed a fault early warning approach of coal mills based on the thermodynamic law and data mining [5]. In this paper, the thermodynamic law is used to describe the working characteristics of coal mills and to determine the multiparameter vector that characterizes the operating state of the coal mill.…”

A novel mobile agent-based distributed evidential expectation maximization algorithm for uncertain sensor networks

“…Different probability theory techniques have been used to represent data uncertainty in recent works on uncertain data mining. Data mining techniques typically incorporate clustering algorithms (Cheng et al, 2019, Zhu et al, 2019), density estimation techniques (Aggarwal, 2007) and support vector classification (Aggarwal, 2015; Xu et al, 2017). The theory of belief function that is well known as evidence theory is a general technique to express data uncertainty (Chebbah et al, 2015; Denoeux, 2013; Quost and Denoeux, 2016).…”