Anomaly detection for condition monitoring data using auxiliary feature vector and density‐based clustering

Liu, Huan; Wang, Youyuan; Chen, Weigen

doi:10.1049/iet-gtd.2019.0682

Cited by 24 publications

(10 citation statements)

References 33 publications

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“…Smart contracts have great potential to simplify these processes, thereby reducing costs [ 13 ]. Liu H. et al adopted the smart contract technology based on Ethereum platform, established a hierarchical intelligent power distribution trading platform architecture for real-time transaction request and data acquisition, and realized the data security interaction under the high coupling of energy flow and information flow [ 14 ]. The combination of homomorphic encryption and Ethereum's smart contract technology makes it possible for insurance companies to obtain a customer's simple EHR text and claim object ID and decide whether to settle a claim even if patient information is not available, strengthening the confidentiality of any confidential information and user information disclosed to unauthorized users during interactions [ 15 ].…”

Section: Related Workmentioning

confidence: 99%

Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Peng

Cai

Liu

et al. 2022

Computational Intelligence and Neuroscience

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To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.

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Section: Related Workmentioning

confidence: 99%

Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Peng

Cai

Liu

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Yu and Xiong used the principal component analysis method to construct the state evaluation matrix of the studied index parameters, as well as the principal component analysis method to eliminate index correlation and reduce the number of evaluation indexes [16]. Liu et al used the linear discriminant analysis method to solve the grid problem and set the repetition problem between the index weights of evaluation indexes [17]. They chose index parameters related to the viability of the grid structure from four aspects of grid backbone evaluation.…”

Section: Research On Condition Monitoring Of Power Systemmentioning

confidence: 99%

Intelligent Identification of Embedded System Equipment State Based on Internet of Things

Xu¹

2022

Mobile Information Systems

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IoT (Internet of things) technology will be more widely used in the manufacturing industry, which will bring new trends to the development of the manufacturing industry. With the continuous advancement of IoT technology in the power field, the integration of IoT and smart grid has become a new topic. In the process of monitoring and troubleshooting the whole EPSE (Embedded Power System Equipment), it is very important to conduct a comprehensive analysis and routine testing on specific equipment and systems, so that the power system can work stably. In this paper, the knowledge sharing and transfer model of EPSE based on IoT is analyzed, and an intelligent identification method of EPSE state based on the GA-C_HMM (Genetic Algorithm-Coupled Hidden Markov Model) algorithm is proposed. After the GA parameters are optimized, the state model library is constructed by fitting each state data of the equipment to C_HMM, and the state of the equipment is determined by calculating the maximum probability value of the signal to be diagnosed. The experimental results show that when the recognition time is 12 hours, the recognition accuracy rate of the existing recognition method is 69.7%, and that of the recognition method in this paper is 98.3%, which shows that the recognition accuracy rate of the recognition method adopted in this study is higher than that of the existing methods and the recognition ability is stronger.

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“…On the other hand, density‐based clustering algorithms are defined as effective techniques among clustering approaches. As compared to centroid‐based clustering algorithms, density‐based clustering works by identifying a ‘dense’ group of points, allowing it to learn clusters of arbitrary shape and detect outliers in the data [43]. Considering that we want to identify the noise data and do not have any idea about the number and shape of the clusters at the beginning of the clustering process, density‐based clustering is a suitable choice for this purpose.…”

Section: Integration Of Ai Techniques Into the Developed Modelmentioning

confidence: 99%