AI Chat Paper
Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
{{expandStatus?'Exit ':''}}Advanced Search
Defects may occur in photovoltaic (PV) modules during production and long-term use, thereby threatening the safe operation of PV power stations. Transient thermography is a promising defect detection technology; however, its detection is limited by transverse thermal diffusion. This phenomenon is particularly noteworthy in the panel glasses of PV modules. A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is proposed. Based on the time-varying characteristics of the point spread function, the selection rules of the first-order difference image for deconvolution are given. Samples with a broken grid and artificial cracks were tested to validate the performance of the optimization method. Compared with the feature images generated by traditional methods, the proposed method significantly improved the visual quality. Quantitative defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold segmentation. For the same batch of PV products, the detection error could be controlled to within 10%.
B Parida, S Iniyan, R Goic, et al. A review of solar photovoltaic technologies. Renewable and Sustainable Energy Reviews, 2011, 15(3): 1625-1636.
P Choudhary, R K Srivastava. Sustainability perspectives: A review for solar photovoltaic trends and growth opportunities. Journal of Cleaner Production, 2019, 227: 589-612.
W Pang, Y Cui, Y Zhang, et al. Comparisons of photovoltaic modules for their performances based on different substrates. Applied Thermal Engineering, 2019, 146: 505-514.
E L Meyer, E E van Dyk. Assessing the reliability and degradation of photovoltaic module performance parameters. IEEE Transactions on Reliability, 2004, 53(1): 83-92.
A Ndiaye, A Charki, A Kobi, et al. Degradations of silicon photovoltaic modules: A literature review. Solar Energy, 2013, 96: 140-151.
C Camus, A Adegbenro, J Ermer, et al. Influence of pre-existing damages on the degradation behavior of crystalline silicon photovoltaic modules. Journal of Renewable and Sustainable Energy, 2018, 10(2): 021004.
J Kim, M Rabelo, S P Pad, et al. A review of the degradation of photovoltaic modules for life expectancy. Energies, 2021, 14(14): 4278.
M M Rahman, I Khan, K Alameh. Potential measurement techniques for photovoltaic module failure diagnosis: A review. Renewable and Sustainable Energy Reviews, 2021, 151: 111532.
B Michl, M Padilla, I Geisemeyer, et al. Imaging techniques for quantitative silicon material and solar cell analysis. IEEE Journal of Photovoltaics, 2014, 4(6): 1502-1510.
T Trupke, B Mitchell, J W Weber, et al. Photoluminescence imaging for photovoltaic applications. Energy Procedia, 2012, 15: 135-146.
S Hwang, Y K An, J M Kim, et al. Monitoring and instantaneous evaluation of fatigue crack using integrated passive and active laser thermography. Optics and Lasers in Engineering, 2019, 119: 9-17.
S Gallardo-Saavedra, L Hernández-Callejo, O Duque-Perez. Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants. Renewable and Sustainable Energy Reviews, 2018, 93: 566-579.
R Yang, Y He. Optically and non-optically excited thermography for composites: A review. Infrared Physics & Technology, 2016, 75: 26-50.
S Grys. New thermal contrast definition for defect characterization by active thermography. Measurement, 2012, 45(7): 1885-1892.
R Usamentiaga, Y Mokhtari, C Ibarra-Castanedo, et al. Automated dynamic inspection using active infrared thermography. IEEE Transactions on Industrial Informatics, 2018, 14(12): 5648-5657.
Z He, H Wang, Y Li, et al. A deconvolutional reconstruction method based on Lucy-Richardson algorithm for joint scanning laser thermography. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-8.
M Omar, M Hassan, K Saito. Optimizing thermography depth probing with a dynamic thermal point spread function. Infrared Physics & Technology, 2005, 46(6): 506-514.
B Yousefi, S Sfarra, I Castanedo, et al. Comparative analysis on thermal non-destructive testing imagery applying Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT). Infrared Physics & Technology, 2017, 85: 163-169.
H Wang, N Wang, Z He, et al. Phase-locked restored pseudo heat flux thermography for detecting delamination inside carbon fiber reinforced composites. IEEE Transactions on Industrial Informatics, 2019, 15(5): 2938-2946.
Y He, R Yang. Eddy current volume heating thermography and phase analysis for imaging characterization of interface delamination in CFRP. IEEE Transactions on Industrial Informatics, 2015, 11(6): 1287-1297.
R Yang, B Du, P Duan, et al. Electromagnetic induction heating and image fusion of silicon photovoltaic cell electrothermography and electroluminescence. IEEE Transactions on Industrial Informatics, 2020, 16(7): 4413-4422.
L Muzika, M Švantner, M Kučera. Lock-in and pulsed thermography for solar cell testing. Applied Optics, 2018, 57(18): D90-D97.
C Schuss, K Remes, K Leppänen, et al. Detecting defects in photovoltaic panels with the help of synchronized thermography. IEEE Transactions on Instrumentation and Measurement, 2018, 67(5): 1178-1186.
A Riverola, A Mellor, D A Alvarez, et al. Mid-infrared emissivity of crystalline silicon solar cells. Solar Energy Materials and Solar Cells, 2018, 174: 607-615.
J C Jaeger, H S Carslaw. Conduction of heat in solids. Oxford: Oxford University Press, 1959.
S Marinetti, D Robba, F Cernuschi, et al. Thermographic inspection of TBC coated gas turbine blades: Discrimination between coating over-thicknesses and adhesion defects. Infrared Physics & Technology, 2007, 49(3): 281-285.
C Gonzalez, E Woods. Digital image processing. 3rd ed. Beijing: Publishing House of Electronics Industry, 2007.
京公网安备11010802044758号