ABSTRACT
For a long time, the protection and maintenance of complex equipment system mainly adopts periodic inspection, maintenance and fault diagnosis and emergency repair during service. However, it can't evaluate and forecast the overall quality and long-storage performance of the system, which has many inconveniences for regular inspection and maintenance, and may affect the reliability of mechanical equipment. According to the structure and use characteristics of complex equipment system, the application software engineering idea and object-oriented programming method, a complex system data fusion software and method were developed using data fusion technology. The method can analyze the data of the material layer, the component layer and the system layer, and respectively fuse the data of each layer to realize the corrosion analysis and prediction of various complex mechanical systems. Using the missile tank system as an example, the feasibility and accuracy of the data fusion method are verified.
- Lichao Zhang, Liyun Liu, "Research of Food Safety Detection Based on Multi-sensor Data Fusion Technology", Advance Journal of Food Science and Technology,2015 (Vol. 9, Issue 11), pp. 860--865.Google Scholar
- Dong Yang, Hui Li, Yaogang Hu, Jie Zhao, Hongwei Xiao, Yongsen Lan, "Vibration condition monitoring system for wind turbine bearings based on noise suppression with multi-point data fusion". Renewable Energy, 2016, Vol.92 pp. 104--116. DOI=10.1016/j.renene.2016.01.099.Google ScholarCross Ref
- Yuhong Wang, Qin Liu, Jianrong Tang, Wenbin Cao, Xiaozhong Li, "Optimization approach of background value and initial item for improving prediction precision of GM model". Journal of Systems Engineering and Electronics,2014,25(1)pp. 77--82. DOI=10.1109/JSEE.2014.00009.Google ScholarCross Ref
- Yu Han, Yubin Wu, Danhua Cao, Peng Yun, "Defect detection on button surfaces with the weighted least-squares model", Frontiers of Optoelectronics, 2017, Vol. 10(02), pp. 151--159. DOI= 10.1007/s12200-017-0687-7.Google ScholarCross Ref
- Yu YL, Yang YJ, Lin C, Hsieh CC, Li CZ, Feng SW, Tang CT, Chung TT, Ma HI, Chen YH; Ju DT, Hueng DY. "Analysis of volumetric response of pituitary adenomas receiving adjuvant CyberKnife stereotactic radiosurgery with the application of an exponential fitting model".Medicine, 2017, Vol.96(4), p.e4662-e4662. DOI= 10.1097/MD.0000000000004662.Google Scholar
- Guixiang Shen, Shu Meng, Yingzhi Zhang, Xiaoyan Qi, Lan Luan, Qi Song."Application of average rank time method in reliability modeling for subsystems",Journal of Jilin University (Engineering and Technology Edition),2014, Vol.44(1), pp. 101--105.Google Scholar
- Brooke P J,Paige R F."Fault trees for security system designand analysis", Computers & security,2003,22(3),pp. 256--264.Google Scholar
Index Terms
- Long-Storage Performance Prediction Method for Complex Systems Based On Data Fusion
Recommendations
Multi-source data fusion study in scientometrics
This paper provides an introduction to multi-source data fusion (MSDF) and comprehensively overviews the ingredients and challenges of MSDF in scientometrics. As compared to the MSDF methods in the sensor and other fields, and considering the features ...
Performance prediction of data fusion for information retrieval
The data fusion technique has been investigated by many researchers and has been used in implementing several information retrieval systems. However, the results from data fusion vary in different situations. To find out under which condition data ...
Multi sensor data fusion with filtering
AIC'05: Proceedings of the 5th WSEAS International Conference on Applied Informatics and CommunicationsThe purpose of data fusion is to produce an improved model or estimate of a system from a set of independent data sources. There are various multisensor data fusion approaches, of which Kalman filtering is one of the most significant. Methods for Kalman ...
Comments