Heterogeneous Sensor Data Fusion Method for Temperature Monitoring in Carbon Fiber Carbonization Process

Hai Nan Li; Li Hong Ren; Yong Sheng Ding

doi:10.4028/www.scientific.net/AMR.711.403

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 711Heterogeneous Sensor Data Fusion Method for...

Heterogeneous Sensor Data Fusion Method for Temperature Monitoring in Carbon Fiber Carbonization Process

Abstract:

Certain error exists in the data collected from multi-sensor network, which is caused by the external interference and defect of sensors. Thus, data fusion algorithm is applied in such monitoring to improve the reliability. In this paper, we propose a heterogeneous sensor data fusion algorithm for temperature monitoring in carbon fiber carbonization process. Through an improved adaptive weighting algorithm and iteration algorithm based on the average value, data from heterogeneous sensors are merged to obtain data closer to the real values. The feasibility of the method is verified in experiment.

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Periodical:

Advanced Materials Research (Volume 711)

Pages:

403-407

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.711.403

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Online since:

June 2013

Authors:

Hai Nan Li, Li Hong Ren, Yong Sheng Ding

Keywords:

Carbon Fiber (CF), Data Fusion, Heterogeneous Sensor Network, Improved Adaptive Weighted Algorithm, Iteration Algorithm, Reliability

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