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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…
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Keywords:
multi attribute;
security protection;
attribute data;
data transmission ... See more keywords
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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…
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Keywords:
data detection;
detection;
industrial processes;
model ... See more keywords
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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…
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Keywords:
abnormal data;
rotating parts;
method based;
data detection ... See more keywords
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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…
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Keywords:
algorithm;
means clustering;
abnormal data;
correction ... See more keywords
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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…
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Keywords:
abnormal data;
data detection;
outlier factor;
detection ... See more keywords
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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…
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Keywords:
system;
abnormal data;
acquisition;
mechanical operation ... See more keywords
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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…
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Keywords:
abnormal data;
series;
cumulative sum;
data gnss ... See more keywords