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    • 3. 发明申请
    • IDENTIFYING CAUSES OF ANOMALIES OBSERVED IN AN INTEGRATED CIRCUIT CHIP
    • WO2021110530A1
    • 2021-06-10
    • PCT/EP2020/083479
    • 2020-11-26
    • SIEMENS INDUSTRY SOFTWARE INC.
    • HLOND, MarcinPANESAR, Gajinder
    • G06F11/00G06F17/18
    • A method of identifying a cause of an anomalous feature measured from system circuitry on an integrated circuit (IC) chip, the IC chip comprising the system circuitry and monitoring circuitry for monitoring the system circuitry by measuring features of the system circuitry in each window of a series of windows, the method comprising: (i) from a set of windows prior to the anomalous window comprising the anomalous feature, identifying a candidate window set in which to search for the cause of the anomalous feature; (ii) for each of the measured features of the system circuitry: (a) calculating a first feature probability distribution of that measured feature for the candidate window set; (b) calculating a second feature probability distribution of that measured feature for window(s) not in the candidate window set; (c) comparing the first and second feature probability distributions; and (d) identifying that measured feature in the timeframe of the candidate window set as a cause of the anomalous feature if the first and second feature probability distributions differ by more than a threshold value; (iii) iterating steps (i) and (ii) for further candidate window sets from the set of windows prior to the anomalous window; and (iv) outputting a signal indicating those measured feature(s) of step (ii)(d) identified as a cause of the anomalous feature.