Being one of the most expensive components of an electrical power plant, the failures of a power transformer can result in serious power system issues. So fault diagnosis for power transformer is highly important to e...Being one of the most expensive components of an electrical power plant, the failures of a power transformer can result in serious power system issues. So fault diagnosis for power transformer is highly important to ensure an uninterrupted power supply. Due to information transmission mistakes as well as arisen errors while processing data in surveying and monitoring state information of transformer, uncertain and incomplete information may be produced. Based on these points, this paper presents an intelligent fault diagnosis method of power transformer using fuzzy fault tree analysis (FTA) and beta distribution for failure possibility estimation. By using the technique we proposed herein, the continuous attribute values are transformed into the fuzzy numbers to give a realistic estimate of failure possibility of a basic event in FTA. Further, it explains a new approach based on Euclidean distance between fuzzy numbers, to rank the basic events in accordance with their Fuzzy Importance Index.展开更多
The COVID-19 pandemic necessitated the emergence of Decentralized Clinical Trials (DCTs) due to patientretention, accelerating trials, improving data accessibility, enabling virtual care, and facilitating seamlesscomm...The COVID-19 pandemic necessitated the emergence of Decentralized Clinical Trials (DCTs) due to patientretention, accelerating trials, improving data accessibility, enabling virtual care, and facilitating seamlesscommunication through integrated systems. However, integrating systems in DCTs exposes clinical data to potentialsecurity threats, making them susceptible to theft at any stage, a high risk of protocol deviations, andmonitoring issues. To mitigate these challenges, blockchain technology serves as a secure framework, acting as adecentralized ledger, creating an immutable environment by establishing a zero-trust architecture, where dataare deemed untrusted until verified. In combination with Internet of Things (IoT)-enabled wearable devices,blockchain secures the transfer of clinical trial data on private blockchains during DCT automation and operations.This paper proposes a prototype model of the zero-Trust Architecture Blockchain (z-TAB) to integratepatient-generated clinical trial data during DCT operation management. The EigenTrust-based PracticalByzantine Fault Tolerance (T-PBFT) algorithm has been incorporated as a consensus protocol, leveragingHyperledger Fabric. Furthermore, the IoT has been integrated to streamline data processing among stakeholderswithin the blockchain platforms. Rigorous evaluation has been done for immutability, privacy and security,mutual consensus, transparency, accountability, tracking and tracing, and temperature‒humidity controlparameters.展开更多
文摘Being one of the most expensive components of an electrical power plant, the failures of a power transformer can result in serious power system issues. So fault diagnosis for power transformer is highly important to ensure an uninterrupted power supply. Due to information transmission mistakes as well as arisen errors while processing data in surveying and monitoring state information of transformer, uncertain and incomplete information may be produced. Based on these points, this paper presents an intelligent fault diagnosis method of power transformer using fuzzy fault tree analysis (FTA) and beta distribution for failure possibility estimation. By using the technique we proposed herein, the continuous attribute values are transformed into the fuzzy numbers to give a realistic estimate of failure possibility of a basic event in FTA. Further, it explains a new approach based on Euclidean distance between fuzzy numbers, to rank the basic events in accordance with their Fuzzy Importance Index.
文摘The COVID-19 pandemic necessitated the emergence of Decentralized Clinical Trials (DCTs) due to patientretention, accelerating trials, improving data accessibility, enabling virtual care, and facilitating seamlesscommunication through integrated systems. However, integrating systems in DCTs exposes clinical data to potentialsecurity threats, making them susceptible to theft at any stage, a high risk of protocol deviations, andmonitoring issues. To mitigate these challenges, blockchain technology serves as a secure framework, acting as adecentralized ledger, creating an immutable environment by establishing a zero-trust architecture, where dataare deemed untrusted until verified. In combination with Internet of Things (IoT)-enabled wearable devices,blockchain secures the transfer of clinical trial data on private blockchains during DCT automation and operations.This paper proposes a prototype model of the zero-Trust Architecture Blockchain (z-TAB) to integratepatient-generated clinical trial data during DCT operation management. The EigenTrust-based PracticalByzantine Fault Tolerance (T-PBFT) algorithm has been incorporated as a consensus protocol, leveragingHyperledger Fabric. Furthermore, the IoT has been integrated to streamline data processing among stakeholderswithin the blockchain platforms. Rigorous evaluation has been done for immutability, privacy and security,mutual consensus, transparency, accountability, tracking and tracing, and temperature‒humidity controlparameters.
