Titlebook: Mechanical Reliability; Prediction and Manag Oleksandr Grynchenko,Oleksiy Alfyorov Book 2020 Springer Nature Switzerland AG 2020 Mechanical

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ed processor develops the pipelined DFA (PDFA) and shows 1.75-to-3.05 × faster DNN learning speed compared with the previous processors. The processor consists of two different types of core. Thanks to the heterogeneous characteristics, the DF-LNPU shows higher area and energy efficiency than the ho

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https://doi.org/10.1007/978-3-030-41564-8Mechanical Reliability; extreme loading; Reliability of elements; random bearing capacity; Management of

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978-3-030-41566-2Springer Nature Switzerland AG 2020

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Reliability of Elements with Deterministic Limit Load,al feature of the model under consideration to predict a sudden mechanical failure is that its risk is not associated with accumulation of damage and does not depend on the history of loads; it does not affect the limit load.

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Reliability of Elements with Random Limit Load,persion with a variation coefficient from 0.05 to 0.15. Therefore, when predicting the reliability of an element as for the reliability function in the case of a single (first) extreme load, the probability is assumed that, where .?>?., . and . are random values of the limit load and loads.

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Prediction of System Reliability,rant, including parallel ones (Fig. 4.1b) and those which have a reserve of survivability (Fig. 4.1c). When analyzing systems, it is necessary to distinguish the structure in a constructive-functional sense and in terms of reliability.

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Book 2020andom extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabil