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Neural Networks and Fuzzy-Based Integrated Circuit and System Solutions Applied to the Biomedical Field
Published in Horia-Nicolai Teodorescu, Abraham Kandel, Lakhmi C. Jain, FUZZY and NEURO-FUZZY SYSTEMS in MEDICINE, 2017
Alexandre Schmid, Daniel Mlynek
Accelerated tests are standard techniques applied in the validation of a new technology. Samples are subjected to exaggerated external conditions to accelerate their failure. A reasonable estimate of the circuit behavior under normal conditions can be derived from the test results and the testing exaggeration factors. Testing specifications for microcircuits devices have been developed under the following standard: US MIL-STD-883: Test Methods and Procedures for Microelectronic Devices [33]. Prediction methods based on empirical models attempt to determine the reliability of circuits use US M/L-HDBK-217: Reliability Prediction of Electronic Components [34], [35].
Reliability Prediction Methods for Electronic Devices: A State-of-the-art Review
Published in IETE Technical Review, 2022
Vinay Kumar, Lalit Kumar Singh, Anil Kumar Tripathi
The model largeness issue is on account of the need for explicit representation of each of the complex dependencies which are faced while modelling the electronic systems. The manual nature of the process of generating a large state space is prone to errors. Therefore, there arises a need for a more efficient technique that allows a brief specification of the complex behaviour of such electronic systems in terms of the behaviour of its components and their interdependencies and automatically generates the state space. Petri net based models are one of the most widely used techniques which offer such largeness tolerance. They are able to represent the process of evolution of an electronic system as a function of time [29]. All of the aforementioned modelling formalisms offer variety in terms of their modelling powers, assumptions, and applications and, therefore, can be used for reliability prediction of electronic components and systems.