Multi-sensors based condition monitoring of rotary machines: An approach of multidimensional time-series analysis

Measurement ◽

10.1016/j.measurement.2018.10.089 ◽

2019 ◽

Vol 134 ◽

pp. 326-335 ◽

Author(s):

Teng Wang ◽

Guoliang Lu ◽

Peng Yan

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Condition Monitoring ◽

Series Analysis ◽

Multidimensional Time Series ◽

Rotary Machines

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Fundamentals of Multidimensional Time-Series Analysis

Identification of Seismic Sources — Earthquake or Underground Explosion ◽

10.1007/978-94-009-8531-5_35 ◽

1981 ◽

pp. 615-647 ◽

Author(s):

M. P. Ekstrom ◽

T. L. Marzetta

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Multidimensional Time Series

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Key-frame selection for video summarization: an approach of multidimensional time series analysis

Multidimensional Systems and Signal Processing ◽

10.1007/s11045-017-0513-9 ◽

2017 ◽

Vol 29 (4) ◽

pp. 1485-1505

Author(s):

Zhen Gao ◽

Guoliang Lu ◽

Peng Yan

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Video Summarization ◽

Frame Selection ◽

Key Frame ◽

Series Analysis ◽

Multidimensional Time Series ◽

Key Frame Selection ◽

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S1601-2-1 Transient condition monitoring of human by nonlinear time series analysis

The proceedings of the JSME annual meeting ◽

10.1299/jsmemecjo.2010.5.0_101 ◽

2010 ◽

Vol 2010.5 (0) ◽

pp. 101-102

Author(s):

Akio SUZUKI ◽

Yoshitomi MORIKAWA ◽

Souhei MATSUMOTO

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Condition Monitoring ◽

Nonlinear Time Series ◽

Transient Condition ◽

Nonlinear Time Series Analysis ◽

Series Analysis

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Life prediction of multiple performance parameters ADT based on multidimensional time series analysis

2013 Proceedings Annual Reliability and Maintainability Symposium (RAMS) ◽

10.1109/rams.2013.6517670 ◽

2013 ◽

Author(s):

Li Wang ◽

Zaiwen Liu ◽

Bo Wan ◽

Youhu Zhao

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Life Prediction ◽

Performance Parameters ◽

Series Analysis ◽

Multidimensional Time Series

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S1601-1-3 Real-time human condition monitoring by nonlinear time series analysis

The proceedings of the JSME annual meeting ◽

10.1299/jsmemecjo.2009.5.0_175 ◽

2009 ◽

Vol 2009.5 (0) ◽

pp. 175-176

Author(s):

Akio SUZUKI ◽

Yoshitomi MORIKAWA ◽

Souhei MATSUMOTO

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Real Time ◽

Condition Monitoring ◽

Nonlinear Time Series ◽

Human Condition ◽

Nonlinear Time Series Analysis ◽

Series Analysis

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Video Clustering via Multidimensional Time-Series Analysis

Proceedings of the 9th International Conference on Information Management and Engineering - ICIME 2017 ◽

10.1145/3149572.3149599 ◽

2017 ◽

Author(s):

Kobylin Oleg ◽

Mashtalir Sergii ◽

Stolbovyi Mykhailo

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Multidimensional Time Series ◽

Video Clustering

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Hankel Matrix-Based Condition Monitoring of Rolling Element Bearings: An Enhanced Framework for Time-Series Analysis

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3062194 ◽

2021 ◽

Vol 70 ◽

pp. 1-10

Author(s):

Weifang Sun ◽

Yuqing Zhou ◽

Jiawei Xiang ◽

Binqiang Chen ◽

Wei Feng

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Condition Monitoring ◽

Hankel Matrix ◽

Rolling Element Bearings ◽

Series Analysis ◽

Rolling Element

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Vector and Multidimensional Time Series Analysis

Time Series Modelling in Earth Sciences ◽

10.1201/9781003211280-4 ◽

2021 ◽

pp. 175-233

Author(s):

B.K. Sahu

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Series Analysis ◽

Multidimensional Time Series

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Multidimensional Time Series Analysis of Financial Markets Based on the Complex Network Approach

Journal of Mathematical Finance ◽

10.4236/jmf.2017.73039 ◽

2017 ◽

Vol 07 (03) ◽

pp. 734-750 ◽

Author(s):

Ying Li ◽

Donghui Yang ◽

Xiaobin Li

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Financial Markets ◽

Complex Network ◽

Network Approach ◽

Series Analysis ◽

Multidimensional Time Series

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Visualization of gear-motor shaft whirling feature based on time-series analysis for rotary machine component condition monitoring

2020 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm49022.2020.9187026 ◽

2020 ◽

Author(s):

Kesaaki Minemura ◽

Shota Yabui ◽

Kohei Iwata ◽

Tsuyoshi Inoue

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Condition Monitoring ◽

Machine Component ◽

Motor Shaft ◽

Rotary Machine ◽

Series Analysis ◽

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