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Lee and O.K. Kwon: \u201cA highly accurate solenoid valve driver with current sensing circuits for brake systems,\u201d IEICE Electron. Express <b>15<\/b> (2018) 20171029 (DOI: 10.1587\/elex.15.20171029).","DOI":"10.1587\/elex.15.20171029"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] X.L. Tang, <i>et al<\/i>.: \u201cApplication of particle filter technique to online prognostics for solenoid valve,\u201d Journal of Intelligent &amp; Fuzzy Systems <b>35<\/b> (2018) 523 (DOI: 10.3233\/JIFS-169608).","DOI":"10.3233\/JIFS-169608"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] X.S. Si, <i>et al.<\/i>: \u201cNonlinear degradation process modeling and remaining useful life estimation subject to measurement error,\u201d Acta Automatica Sinica <b>39<\/b> (2013) 530 (DOI: 10.3724\/SP.J.1004.2013.00530).","DOI":"10.3724\/SP.J.1004.2013.00530"},{"key":"4","unstructured":"[4] Y. Yu, <i>et al<\/i>.: \u201cData driven reliability assessment and life-time prognostics: a review on covariate models,\u201d Acta Automatica Sinica <b>44<\/b> (2018) 216 (DOI: 10.16383\/j.aas.2018.c170005)."},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] Y. Xu, <i>et al<\/i>.: \u201cAn energy-efficient parallel VLSI architecture for SVM classification,\u201d IEICE Electron. Express <b>15<\/b> (2018) 20180099 (DOI: 10.1587\/elex.15.20180099).","DOI":"10.1587\/elex.15.20180099"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] M.U. Ali, <i>et al<\/i>.: \u201cOnline remaining useful life prediction for lithium-ion batteries using partial discharge data features,\u201d Energies <b>12<\/b> (2019) 4366 (DOI: 10.3390\/en12224366).","DOI":"10.3390\/en12224366"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] B. Caio, <i>et al<\/i>.: \u201cRemaining useful life estimation by empirical mode decomposition and support vector machine,\u201d IEEE Latin America Trans. <b>14<\/b> (2016) 4603 (DOI: 10.1109\/TLA.2016.7795836).","DOI":"10.1109\/TLA.2016.7795836"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] H.J. Kang: \u201cShort floating-point representation for convolutional neural network inferences,\u201d IEICE Electron. Express <b>16<\/b> (2018) 20180909 (DOI: 10.1587\/elex.15.20180909).","DOI":"10.1587\/elex.15.20180909"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] J. Qu, <i>et al<\/i>.: \u201cA neural-network-based method for RUL prediction and SOH monitoring of lithium-ion battery,\u201d IEEE Access <b>7<\/b> (2019) 87178 (DOI: 10.1109\/ACCESS.2019.2925468).","DOI":"10.1109\/ACCESS.2019.2925468"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] R. Liu, <i>et al<\/i>.: \u201cSimultaneous bearing fault recognition and remaining useful life prediction using joint-loss convolutional neural network,\u201d IEEE Trans. Ind. Inform. <b>16<\/b> (2020) 87 (DOI: 10.1109\/TII.2019.2915536).","DOI":"10.1109\/TII.2019.2915536"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] R. Guo and J. Sui: \u201cRemaining useful life prognostics for the electrohydraulic servo actuator using hellinger distance-based particle filter,\u201d IEEE Trans. Instrum. Meas. <b>69<\/b> (2020) 1148 (DOI: 10.1109\/TIM.2019.2910919).","DOI":"10.1109\/TIM.2019.2910919"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] R. Jiao, <i>et al<\/i>.: \u201cRemaining useful life prediction of lithium-ion batteries based on conditional variational autoencoders-particle filter,\u201d IEEE Trans. Instrum. Meas. <b>69<\/b> (2020) 8831 (DOI: 10.1109\/TIM.2020.2996004).","DOI":"10.1109\/TIM.2020.2996004"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] L. Zhang, <i>et al<\/i>.: \u201cRemaining useful life prediction for lithium-ion batteries based on exponential model and particle filter,\u201d Reliability IEEE Access <b>6<\/b> (2018) 17729 (DOI: 10.1109\/ACCESS.2018.2816684).","DOI":"10.1109\/ACCESS.2018.2816684"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] J. Wei, <i>et al<\/i>.: \u201cRemaining useful life prediction and state of health diagnosis for lithium-ion batteries using particle filter and support vector regression,\u201d IEEE Trans. Ind. Electron. <b>65<\/b> (2018) 5634 (DOI: 10.1109\/TIE.2017.2782224).","DOI":"10.1109\/TIE.2017.2782224"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] S. Chen, <i>et al<\/i>.: \u201cRemaining useful life prediction for complex systems with multiple indicators based on particle filter and parameter correlation,\u201d IEEE Access <b>8<\/b> (2020) 215145 (DOI: 10.1109\/ACCESS.2020.3041682).","DOI":"10.1109\/ACCESS.2020.3041682"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] K. Li, <i>et al<\/i>.: \u201cNew particle filter based on GA for equipment remaining useful life prediction,\u201d Sensors <b>17<\/b> (2017) 696 (DOI: 10.3390\/s17040696).","DOI":"10.3390\/s17040696"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] M.N. Utah and J.C. Jung: \u201cFault state detection and remaining useful life prediction in AC powered solenoid operated valves based on traditional machine learning and deep neural networks - ScienceDirect,\u201d Nuclear Engineering and Technology <b>52<\/b> (2020) 1998 (DOI: 10.1016\/j.net.2020.02.001).","DOI":"10.1016\/j.net.2020.02.001"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] X. Tang, <i>et al<\/i>.: \u201cApplication of Kalman filter to model-based prognostics for solenoid valve,\u201d Soft Computing <b>24<\/b> (2020) 5741 (DOI: 10.1007\/s00500-019-04311-w).","DOI":"10.1007\/s00500-019-04311-w"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] J. Peng, <i>et al<\/i>.: \u201cFailure type prediction using physical indices and data features for solenoid valve,\u201d Applied Sciences <b>10<\/b> (2020) 1323 (DOI: 10.3390\/app10041323).","DOI":"10.3390\/app10041323"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] J. Li, <i>et al<\/i>.: \u201cFailure mechanism study of direct action solenoid valve based on thermal-structure finite element model,\u201d IEEE Access <b>8<\/b> (2020) 58357 (DOI: 10.1109\/ACCESS.2020.2982941).","DOI":"10.1109\/ACCESS.2020.2982941"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] A.C. Yudell and D. Van: \u201cPredicting solenoid valve spool displacement through current analysis,\u201d International Journal of Fluid Power <b>16<\/b> (2015) 133 (DOI: 10.1080\/14399776.2015.1068549).","DOI":"10.1080\/14399776.2015.1068549"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] H. Tian and Y.R. Zhao: \u201cCoil inductance model based solenoid on-off valve spool displacement sensing via laser calibration,\u201d Sensors <b>18<\/b> (2018) 4492 (DOI: 10.3390\/s18124492).","DOI":"10.3390\/s18124492"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] L. Piotrowsky and N. Pohl: \u201cSpatially resolved fast-time vibrometry using ultrawideband FMCW radar systems,\u201d IEEE Trans. Microw. Theory Techn. <b>69<\/b> (2021) 1082 (DOI: 10.1109\/TMTT.2020.3038080).","DOI":"10.1109\/TMTT.2020.3038080"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] F. Chen, <i>et al<\/i>.: \u201cDetection of the vibration signal from human vocal folds using a 94-GHz millimeter-wave radar,\u201d Sensors <b>17<\/b> (2017) 543 (DOI: 10.3390\/s17030543).","DOI":"10.3390\/s17030543"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] G. Sacco, <i>et al<\/i>.: \u201cAn FMCW radar for localization and vital signs measurement for different chest orientations,\u201d Sensors <b>20<\/b> (2020) 3489 (DOI: 10.3390\/s20123489).","DOI":"10.3390\/s20123489"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] M. Alizadeh, <i>et al<\/i>.: \u201cRemote monitoring of human vital signs using mm-wave FMCW radar,\u201d IEEE Access <b>7<\/b> (2019) 54958 (DOI: 10.1109\/ACCESS.2019.2912956).","DOI":"10.1109\/ACCESS.2019.2912956"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] T. Sakamoto, <i>et al<\/i>.: \u201cRemote heartbeat monitoring from human soles using 60-GHz ultra-wideband radar,\u201d IEICE Electron. Express <b>12<\/b> (2015) 20150786 (DOI: 10.1587\/elex.12.20150786).","DOI":"10.1587\/elex.12.20150786"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] E. Klinefelter, <i>et al<\/i>.: \u201cAutomotive velocity sensing using millimeter-wave interferometric radar,\u201d IEEE Trans. Microw. Theory Techn. <b>69<\/b> (2020) 1096 (DOI: 10.1109\/TMTT.2020.3038667).","DOI":"10.1109\/TMTT.2020.3038667"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] F. Ruknudeen and S. Asokan: \u201cApplication of particle filter to on-board life estimation of LED lights,\u201d IEEE Photon. J. <b>9<\/b> (2017) 1 (DOI: 10.1109\/jphot.2017.2698409).","DOI":"10.1109\/JPHOT.2017.2698409"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] Y. Lei, <i>et al<\/i>.: \u201cA new method based on stochastic process models for machine remaining useful life prediction,\u201d IEEE Trans. Instrum. Meas. <b>65<\/b> (2016) 2671 (DOI: 10.1109\/TIM.2016.2601004).","DOI":"10.1109\/TIM.2016.2601004"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] S. Chen and W. 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