Articles with "abnormal data" as a keyword



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Security Protection Technology in Multi-Attribute Data Transmission Based on Fuzzy Genetic Algorithm

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Published in 2021 at "Wireless Personal Communications"

DOI: 10.1007/s11277-021-08447-7

Abstract: Because the traditional data transmission security protection methods ignore the process of multi-attribute data detection, resulting in the abnormal data false alarm rate, high missing alarm rate, eliminating accuracy and other problems, a multi-attribute data… read more here.

Keywords: multi attribute; security protection; attribute data; data transmission ... See more keywords
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Abnormal data detection for industrial processes using adversarial autoencoders support vector data description

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Published in 2022 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ac4f02

Abstract: Abnormal data detection for industrial processes is essential in industrial process monitoring and is an important technology to ensure production safety. However, for most industrial processes, it is a challenge to establish an effective abnormal… read more here.

Keywords: data detection; detection; industrial processes; model ... See more keywords
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A novel abnormal data detection method based on dynamic adaptive local outlier factor for the vibration signals of rotating parts

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Published in 2023 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/accbda

Abstract: Abnormal signals are inevitable in big data acquired from harsh industrial environments. Abnormal data detection is a crucial component of condition monitoring for rotating parts and is also the premise of data cleaning, compensation, and… read more here.

Keywords: abnormal data; rotating parts; method based; data detection ... See more keywords
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Study of laser displacement measurement data abnormal correction algorithm

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Published in 2017 at "Engineering Computations"

DOI: 10.1108/ec-10-2015-0325

Abstract: Purpose This paper aims to reduce and eliminate the abnormal peaks which, because of the reflection in the process of laser detection, make it easier to proceed with further analysis. Design/methodology/approach To solve the above… read more here.

Keywords: algorithm; means clustering; abnormal data; correction ... See more keywords
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Abnormal Data Detection Based on Adaptive Sliding Window and Weighted Multiscale Local Outlier Factor for Machinery Health Monitoring

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Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3231279

Abstract: Identifying abnormal data to improve data quality is of great importance for machinery health monitoring (MHM). Existing abnormal data detection methods generally depend on appropriate parameter settings and prior knowledge of data distribution, which result… read more here.

Keywords: abnormal data; data detection; outlier factor; detection ... See more keywords
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Abnormal data acquisition system of mechanical operation based on block chain technology

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Published in 2020 at "Thermal Science"

DOI: 10.2298/tsci190507021x

Abstract: In order to solve the problems of information sharing, tampering and leaking in mechanical operation data acquisition, an abnormal data acquisition system for mechanical operation based on block chain technology was designed. The system takes… read more here.

Keywords: system; abnormal data; acquisition; mechanical operation ... See more keywords
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Detection of Abnormal Data in GNSS Coordinate Series Based on an Improved Cumulative Sum

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Published in 2023 at "Sustainability"

DOI: 10.3390/su15097228

Abstract: The global navigation satellite system (GNSS), as a high-time resolution and high-precision measurement technology, has been widely used in the field of deformation monitoring. Owing to the influence of uncontrollable factors, there are inevitably some… read more here.

Keywords: abnormal data; series; cumulative sum; data gnss ... See more keywords