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Land Surface Temperature Retrieval from the Medium Resolution Spectral Imager Thermal Data
Hailei Liu,Shenglan Zhang,Shihao Tang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
A single channel land surface temperature (LST) retrieval algorithm named Single Channel Water Vapor Dependent (SCWVD) method was presented for Medium Resolution Spectral Imager (MERSI) thermal infrared band aboard FengYun-3A (FY-3A) satellite. Water Vapor Content (WVC) is the only input parameter in the algorithm assuming the surface emissivity is known. NCEP reanalysis monthly mean datasets were used to develop the SCWVD algorithm. Some tests, including global numerical simulations and validations with both in-situ measurements and MODIS LST product at Lake Tahoe, USA, were carried out to evaluate the algorithm performance. The simulation results showed that the LST could be estimated by the SCWVD algorithm with the root mean square error (RMSE) less than 0.8 K. In the inversion test, MERSI Level 2 water vapor product was employed, and the MERSI band emissivity was calculated using the MODIS band 31 and 32 emissivity by an empirical expression. The results show that the difference between the retrieved MERSI LST and the in-situ measurements is less than 1 K in most situations. The comparison with the MODIS LST products (V5) shows that the RMSE is about 2.3 K.
Yan-bin Du,Guoao Wu,Ying Tang,Huajun Cao,Shihao Liu 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.6
Reliability is the key performance indicator for remanufactured machine tools to be approved by customers. Reliability allocation is an important task that needs to be done in the design phase of remanufactured machine tools to ensure that remanufactured products meet the reliability target requirements. A reliability allocation method for remanufactured machine tools is proposed based on fuzzy evaluation importance and failure influence of each component. The importance of each component is evaluated by five indicators such as complexity of structure, maturity of technology, criticality of fault, difficulty of maintenance, and severity of service condition, in which their weights are determined by the method of analytic hierarchy process (AHP). Failure influence is determined by the proportion of downtime caused by each component in total downtime of machine tools. Finally, the proposed method is illustrated in a numerical case study of NC lathe remanufacturing.