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Condition based maintenance(CBM) is one of the solutions to machinery maintenance requirements. Latest approaches to CBM aim at reducing human engagement in the real-time fault detection and decision making. Machine learning techniques like fuzzy-logic-based systems, neural networks, and support vector machines help to reduce human involvement. Most of these techniques provide fault information with 100% confidence. It is undeniably apparent that this area has a vast application scope. To facili... 相似文献
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An attempt has been made to investigate the problem of a natural convective radiative flow past an impulsively moving vertical plate with uniform mass and heat flux in the existence of the thermal diffusion effect. The resulting governing equations are solved by the Laplace transform technique in closed form. Effects of radiation, Prandtl number, Soret number, Grashof number, modified Grashof number, and Schmidt number are studied on temperature field, concentration field, velocity field, plate temperature, plate concentration, skin friction, and are demonstrated through graphs. The present study reveals that an intensification of the thermal radiation effect causes a downfall in the fluid temperature, plate temperature, and skin friction, but a contradictory outcome is spotted for plate concentration. One of the significant findings of this study includes that the increasing thermo-diffusion effect hikes the concentration and frictional resistance of the field. 相似文献
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Gitartha Kaushik Kduplin Synnah Kermi‐u Tariang Ramanujam Sunkam Narayana Sabitry Bordoloi 《Lakes & Reservoirs: Research and Management》2019,24(3):299-301
The length–weight relationships (LWRs) of four indigenous fish species; namely Parambassis baculis (Hamilton, 1822); Pethia gelius (Hamilton, 1822); Channa stewartii (Playfair, 1867); and Leiodon cutcutia (Hamilton, 1822) collected from the Ranganadi River in Assam, and the Simsang and Kynshi River in Meghalaya are presented in the present study. The value of the parameter b recorded for P. baculis = 3.347; P. gelius = 3.924; C. stewartii = 2.979; and L. cutcutia = 3.205, with regression coefficients (r2) of 0.993, 0.963, 0.983 and 0.955, respectively. Parameter a was 0.0124 for P. baculis, 0.0037 for P. gelius, 0.0098 for C. stewartii and 0.0273 for L. cutcutia. As information on the LWRs of these fish species is not available in the FishBase database, it should assist future researchers to better analyse the stock of these fishes. 相似文献