Patent classifications
G01R31/318342
Testing method and testing system
The present disclosure provides a testing method and a testing system. The testing method is performed by at least one processor and includes the following operations: converting a circuit data of a scan test to a program, in which the program is configured to observe an untested part of a circuitry that is unable to be tested in the scan test; generating a waveform data associated with the untested part; generating a look-up table according to the program and a netlist file, in which the netlist file indicates the circuitry; and testing the untested part of the circuitry according to the waveform data and the look-up table.
SYSTEMS AND METHODS FOR FALSE-POSITIVE REDUCTION IN POWER ELECTRONIC DEVICE EVALUATION
Systems and methods of testing the health of vehicular power devices are disclosed herein. A method may include producing operating points as a function of cycling current (I.sub.ds) and voltage drain to source (V.sub.ds) when a subject device is conducting current. The method may further include determining a mean of moving distribution to adapt a center of the moving distribution contrasted with a plurality of known healthy devices. The method may also include indicating an imminent fault in the subject device based upon a discontinuity among operating points above a threshold.
Systems and methods for testing an embedded controller
Systems and methods described herein provide for testing and debugging different subsystems of an embedded controller using a testing architecture. The testing architecture can simulate messaging interfaces between internal subsystems of the embedded controller and external subsystems the controllers interacts with to integrate various types of software. A method includes generating test support models for one or more subsystems and establishing a communications network between the test support models and a control module of the embedded controller. A clock signal is generated to initiate processing within the testing architecture between the control module and the test support models. An event model is executed at the test support models using the clock signal and data is generated at one or more of the test support models responsive to the event model. The data can correspond to operational parameters of a respective system the embedded controller.
MAXIMIZATION OF SIDE-CHANNEL SENSITIVITY FOR TROJAN DETECTION
An exemplary method of detecting a Trojan circuit in an integrated circuit is related to applying a test pattern comprising an initial test pattern followed by a corresponding succeeding test pattern to a golden design of the integrated circuit, wherein a change in the test pattern increases side-channel sensitivity; measuring a side-channel parameter in the golden design of the integrated circuit after application of the test pattern; applying the test pattern to a design of the integrated circuit under test; measuring the side-channel parameter in the design of the integrated circuit under test after application of the test pattern; and determining a Trojan circuit to be present in the integrated circuit under test when the measured side-channel parameters vary by a threshold.
POWER ELECTRONIC CIRCUIT FAULT DIAGNOSIS METHOD BASED ON EXTREMELY RANDOMIZED TREES AND STACKED SPARSE AUTO-ENCODER ALGORITHM
A power electronic circuit fault diagnosis method based on Extremely randomized trees (ET) and Stack Sparse auto-encoder (SSAE) algorithm includes the following. First, collect the fault signal and extract fault features. Then, reduce the dimensionality of fault features by calculating the importance value of all features using ET algorithm. A proportion of the features to be eliminated is determined, and a new feature set is obtained according the value of importance. Further extraction of fault features is carried by using SSAE algorithm, and hidden layer features of the last sparse auto-encoder are obtained as fault features after dimensionality reduction. Finally, the fault samples in a training set and a test set are input to the classifier for training to obtain a trained classifier. And mode identification, wherein the fault of the power electronic circuit is identified and located by the training classifier.
APPARATUS AND METHODS FOR TESTING CIRCUIT ELEMENTS AT ONE OR MORE MANUFACTURING STAGES
A method for testing circuit elements at one or more manufacturing stages comprising receiving, at a circuit verifier a fingerprint of at least a circuit element to be manufactured, wherein the fingerprint further comprises at least an expected output corresponding to at least a test input, transmitting, from the circuit verifier the at least a test input to the at least a circuit element, receiving, at the circuit verifier at least a test output from the at least a circuit element, and comparing, by the circuit verifier the at least a test output to the at least an expected output of the fingerprint of the at least a circuit element.
Cell-aware diagnostic pattern generation for logic diagnosis
Various aspects of the disclosed technology relate to techniques of logic diagnosis based on cell-aware diagnostic pattern generation. A first diagnosis process is performed on a failed integrated circuit based on a first fail log to generate a first set of defect suspects. The first fail log is generated by applying the first set of test patterns to the failed integrated circuit in a first scan-based test. A second set of test patterns are generated using fault models for internal defects in one or more cells included in the first set of defect suspects. The second set of test patterns are applied to the failure integrated circuit to generate a second fail log. A second diagnosis process is performed on the failure integrated circuit based on the second fail log.
MEASUREMENT SYSTEM AS WELL AS METHOD OF PROVIDING STATISTICAL INFORMATION
A measurement system includes a measurement module, a processing module, and a display. The measurement module is configured to conduct measurements on a device under test in a repetitive manner in order to obtain measurement results assigned to the repeated measurements. The processing module is configured to combine the measurement results obtained. The processing module is also configured to perform a statistical analysis in a live manner in order to calculate at least one of a live statistical significance parameter of the combined measurement results and a time duration required to obtain a certain statistical significance of the measurement results. The display is configured to display at least one of the live statistical significance parameter and the time duration. Further, a method of providing statistical information is described.
Testing storage device power circuitry
The present invention extends to methods, systems, and computer program products for testing storage device power circuitry. A storage device controller includes an embedded test program. The storage device controller executes the test program in response to receiving a test command. In one aspect, the test program issues a plurality of different command patterns to test shared power circuitry of storage device components (e.g., shared by an array of NAND flash memory devices). The test program identifies a command pattern that causes a greatest total current draw. In another aspect, the test program issues a specified command pattern (possibly repeatedly) to shared power circuitry to determine if the shared power circuitry fails.
TESTING METHOD AND TESTING SYSTEM
The present disclosure provides a testing method and a testing system. The testing method is performed by at least one processor and includes the following operations: converting a circuit data of a scan test to a program, in which the program is configured to observe an untested part of a circuitry that is unable to be tested in the scan test; generating a waveform data associated with the untested part; generating a look-up table according to the program and a netlist file, in which the netlist file indicates the circuitry; and testing the untested part of the circuitry according to the waveform data and the look-up table.