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Items: 1 to 20 of 85

1.

Reliability of measured data for pH sensor arrays with fault diagnosis and data fusion based on LabVIEW.

Liao YH, Chou JC, Lin CY.

Sensors (Basel). 2013 Dec 13;13(12):17281-91. doi: 10.3390/s131217281.

2.

Fault detection, isolation, and diagnosis of status self-validating gas sensor arrays.

Chen YS, Xu YH, Yang JL, Shi Z, Jiang SD, Wang Q.

Rev Sci Instrum. 2016 Apr;87(4):045001. doi: 10.1063/1.4944976.

PMID:
27131696
3.

Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis.

Jiang W, Xie C, Zhuang M, Shou Y, Tang Y.

Sensors (Basel). 2016 Sep 15;16(9). pii: E1509. doi: 10.3390/s16091509.

4.

Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory.

Yuan K, Xiao F, Fei L, Kang B, Deng Y.

Sensors (Basel). 2016 Jan 18;16(1). pii: E113. doi: 10.3390/s16010113.

5.

Multi-Sensor Fusion with Interaction Multiple Model and Chi-Square Test Tolerant Filter.

Yang C, Mohammadi A, Chen QW.

Sensors (Basel). 2016 Nov 2;16(11). pii: E1835.

6.

Fault detection in finite frequency domain for Takagi-Sugeno fuzzy systems with sensor faults.

Li XJ, Yang GH.

IEEE Trans Cybern. 2014 Aug;44(8):1446-58. doi: 10.1109/TCYB.2013.2286209. Epub 2013 Oct 30.

PMID:
24184791
7.

Fabrication and Characterization of a Ruthenium Nitride Membrane for Electrochemical pH Sensors.

Liao YH, Chou JC.

Sensors (Basel). 2009;9(4):2478-90. doi: 10.3390/s90402478. Epub 2009 Apr 9.

8.

Fault diagnostics for turbo-shaft engine sensors based on a simplified on-board model.

Lu F, Huang J, Xing Y.

Sensors (Basel). 2012;12(8):11061-76. doi: 10.3390/s120811061. Epub 2012 Aug 9.

9.

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox.

Jing L, Wang T, Zhao M, Wang P.

Sensors (Basel). 2017 Feb 21;17(2). pii: E414. doi: 10.3390/s17020414.

10.

Effect of ordered mesoporous carbon contact layer on the sensing performance of sputtered RuO2 thin film pH sensor.

Lonsdale W, Maurya DK, Wajrak M, Alameh K.

Talanta. 2017 Mar 1;164:52-56. doi: 10.1016/j.talanta.2016.11.020. Epub 2016 Nov 15.

PMID:
28107967
11.

Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence.

Zhang R, Peng Z, Wu L, Yao B, Guan Y.

Sensors (Basel). 2017 Mar 9;17(3). pii: E549. doi: 10.3390/s17030549.

13.

Nanoscale Electrochemical Sensor Arrays: Redox Cycling Amplification in Dual-Electrode Systems.

Wolfrum B, Kätelhön E, Yakushenko A, Krause KJ, Adly N, Hüske M, Rinklin P.

Acc Chem Res. 2016 Sep 20;49(9):2031-40. doi: 10.1021/acs.accounts.6b00333. Epub 2016 Sep 7.

PMID:
27602780
14.

Fault Detection Using the Clustering-kNN Rule for Gas Sensor Arrays.

Yang J, Sun Z, Chen Y.

Sensors (Basel). 2016 Dec 6;16(12). pii: E2069.

15.

Data fault detection in medical sensor networks.

Yang Y, Liu Q, Gao Z, Qiu X, Meng L.

Sensors (Basel). 2015 Mar 12;15(3):6066-90. doi: 10.3390/s150306066.

16.

Optimal design of the absolute positioning sensor for a high-speed maglev train and research on its fault diagnosis.

Zhang D, Long Z, Xue S, Zhang J.

Sensors (Basel). 2012;12(8):10621-38. doi: 10.3390/s120810621. Epub 2012 Aug 3.

17.

A Fault Diagnosis Methodology for Gear Pump Based on EEMD and Bayesian Network.

Liu Z, Liu Y, Shan H, Cai B, Huang Q.

PLoS One. 2015 May 4;10(5):e0125703. doi: 10.1371/journal.pone.0125703. eCollection 2015.

18.

Fault detection for discrete-time switched systems with sensor stuck faults and servo inputs.

Zhong GX, Yang GH.

ISA Trans. 2015 Sep;58:196-205. doi: 10.1016/j.isatra.2015.05.006. Epub 2015 Jun 6.

PMID:
26055929
19.

Current Sensor Fault Diagnosis Based on a Sliding Mode Observer for PMSM Driven Systems.

Huang G, Luo YP, Zhang CF, Huang YS, Zhao KH.

Sensors (Basel). 2015 May 11;15(5):11027-49. doi: 10.3390/s150511027.

20.

A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System.

Yuan X, Song M, Zhou F, Chen Z, Li Y.

Comput Intell Neurosci. 2015;2015:606734. doi: 10.1155/2015/606734. Epub 2015 Jul 2.

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