Abstract
As a typical device widely used in electronics and information systems, the super-heterodyne receiver plays a key role in the whole system. This study proposes a method of fault diagnosis and health assessment for super-heterodyne receivers based on intrinsic time-scale decomposition (ITD)-singular value decomposition (SVD) and logistic regression (LR). First, a state observer based on radial basis function (RBF) neural network is designed to calculate the residual error between the actual and estimated signal outputs. Second, proper rotation components of the residual error are obtained by ITD. Then the singular values of the components are extracted by SVD to form feature vectors. Finally, a second RBF neural network is trained by the features to realize the classification of common fault modes, and the LR model is trained to estimate the health state of the super-heterodyne receiver. The feasibility and effectiveness of the proposed scheme are demonstrated by the results of simulation experiments.
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References
Stagner, C., et al.: A practical superheterodyne-receiver detector using stimulated emissions. IEEE Trans. Instrum. Meas. 60(4), 1461–1468 (2011)
Chen, S.-J., Lian, K., Wang, H.-J.: Fault diagnosis method of radar receiver using multi-signal flow graphs model. J. Univ. Electron. Sci. Technol. China 01, 87–91 (2009)
Wang, J., et al.: Network association strategies for an energy harvesting aided super-WiFi network relying on measured solar activity. IEEE J. Sel. Areas Commun. 12(34), 3785–3797 (2016)
Yuan, H., et al.: Neural network-based fault detection method for aileron actuator. Appl. Math. Model. 39(19SI), 5803–5815 (2015)
Chen, L., Jiamengm, H., Hongmei, L.: Application of EMD-AR and MTS for hydraulic pump fault diagnosis. J. Vibroengineering 15(2), 761–772 (2013)
Frei, M.G., Osorio, I.: Intrinsic time-scale decomposition: time–frequency–energy analysis and real-time filtering of non-stationary signals. Proc. Royal Soc. London A Math. Phys. Eng. Sci. 463(2078), 321–342 (2007)
Acknowledgements
This study was supported by the State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, China, as well as the National Natural Science Foundation of China (Grant Nos. 51575021 and 51605014).
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Wang, M., Sun, J., Lu, C., Qi, L. (2019). Fault Diagnosis and Health Assessment for Super-Heterodyne Receivers Based on ITD-SVD and LR. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_83
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DOI: https://doi.org/10.1007/978-981-10-6571-2_83
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