Intelligent classification of coal seams using spontaneous combustion susceptibility in IoT paradigm

Mishra, Ashutosh; Gupta, Sumiti

doi:10.1080/19392699.2023.2217747

Cited by 1 publication

(1 citation statement)

References 48 publications

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“…Currently, considerable research is focused on smart systems and environments, encompassing various aspects, such as SSFs [1] , blockchain faults [2] , smart grid faults [3][4][5] , reliability of smart monitoring [6] , reliability of smart operations [7] , smart grid and cloud computing [8] , multiagent faults [9] , knowledge smart factory faults [10] , smart agriculture [11] , smart intercity electric traction systems [12] , smart hospitals and healthcare systems [13] , energy management systems [14] , and smart-city environments [15] . Further, there are studies on topics, such as the IoT paradigm [16] , novel machine learning based frameworks [17,18] , and security and privacy in cyberspace [19] .…”

Section: Introductionmentioning

confidence: 99%

Edge Device Fault Probability Based Intelligent Calculations for Fault Probability of Smart Systems

Li,

Cui,

Viriyasitavat

2024

Tsinghua Sci. Technol.

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In a smart system, the faults of edge devices directly impact the system's overall fault. Further, complexity arises when different edge devices provide varying fault data. To study the Smart System Fault Evolution Process (SSFEP) under different fault data conditions, an intelligent method for determining the Smart System Fault Probability (SSFP) is proposed. The data types provided by edge devices include the following: (1) only known edge device fault probability; (2) known Edge Device Fault Probability Distribution (EDFPD); (3) known edge device fault number and EDFPD; (4) known factor state of the edge device fault and EDFPD. Moreover, decision methods are proposed for each data case. Transfer Probability (TP) is divided into Continuity Transfer Probability (CTP) and Filterability Transfer Probability (FTP). CTP asserts that a CauseEvent (CE) must lead to a Result Event (RE), while FTP requires CF probability to exceed a threshold before RF occurs. These probabilities are used to calculate SSFP. This paper introduces a decision method using the information diffusion principle for low-data SSFP determination, along with an improved method. The method is based on space fault network theory, abstracting SSFEP into a System Fault Evolution Process (SFEP) for research purposes.

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