It will not be possible to apply exactly the same teaching process to the machine as to a normal child. It will not, for instance, be provided with legs, so that it could not be asked to go out and fill the coal scuttle. Possibly it might not have eyes. But however well these deficiencies might be overcome by clever engineering, one could not send the creature to school without the other childr...

The ESCRT (endosomal sorting complex required for transport) machinery consists of a number of cytosolic proteins that make up three functional subcomplexes: ESCRT-I, ESCRT-II and ESCRT-III. These proteins function in multivesicular body formation and cell division and are co-opted by enveloped retroviruses to facilitate viral egress. Analysis of these functions may help illuminate conserved me...

Due to manufacturing flaws or cyclic loading, cracks frequently appear in a rotating spindle system. These cracks markedly affect the dynamic characteristics in higher modes of the rotating machinery. For faster rotational speeds, especially for super-high-speed cutting, a spindle with magnetic bearings is necessary. However, most investigations into spindle system dynamic characteristics have ...

Owing to the high power consumption and limited control precision of traditional hydraulic drive winch systems, this study proposes electric-type energy recovery systems. The accumulator used in type has low density, which makes it difficult store a large amount energy. Meanwhile, electric motor/generator cannot solve secondary slip because oil leakage, leads controllability high-power under ne...

Abstract—Condition surveillance of rotating machinery in a plant is very important for guaranteeing production efficiency and plant safety. In a large plant, because there are an enormous number of rotating machines, condition surveillance for all rotating machines is time consuming and labor intensive and the accuracy of condition judgment is not ensured. These difficulties may cause serious m...

A bearing is a critical component in the transmission of rotating machinery. However, due to prolonged exposure heavy loads and high-speed environments, rolling bearings are highly susceptible faults, Hence, it crucial enhance fault diagnosis ensure safe reliable operation In order achieve this, machinery method based on deep convolutional neural network (DCNN) Whale Optimization Algorithm (WOA...

rotating machinery is the most common machinery in industry. the root of the faults in rotating machinery is often faulty rolling element bearings. this paper presents a technique using optimized artificial neural network by the bees algorithm for automated diagnosis of localized faults in rolling element bearings. the inputs of this technique are a number of features (maximum likelihood estima...