Estimating the quality of Oscillation-Based Test for detecting parametric faults

Peralta, José María Margenat; Costamagna, Marcelo; Peretti, Gabriela; Romero, Eduardo; Marques, Carlos Alberto

doi:10.1109/latw.2009.4813794

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…In order to force the oscillations by using a non-linear block in the feedback loop, it could explore the ability of OBT for testing Operational Transconductance Amplifier Capacitor -C (OTA-C) filters [4].Reconstructing the CUT with common feedback loop and using the simultaneous statistical fluctuation of non-faulty parameters, the OBT's ability to detect deviation faults could be evaluated [5] [6].Meanwhile, the basic feedback path is critical to the oscillation establishment. So a proper basic path is still indispensable to this new design.…”

Section: Design Of Harmonicsfeedback Pathmentioning

confidence: 99%

“…The describing functions are (6) ൌ ‫ܣ‬ ߙ ሺ݆ ൌ ͳǡ ʹǡ ͵ǡ ǥ ሻ represents the ݆th output harmonic and ܰ ᇱ ሺ݆ሻ represents the gain of throughܰ ᇱ , then the 1st to 3rd harmonics are (7) The first equation of (7) is the same to (1), which determines the oscillation specifications.݆ can be calculated by (7) as (8) From (8) we can conclude that the specification of fundamental component is only decided by ܰ ଵ ᇱ and ‫,ܩ‬ 2nd harmonic is decided by ܰ ଵ ᇱ ܰ ଶ ᇱ and ‫ܩ‬ , and 3rd harmonic by ܰ ଵ ᇱ ܰ ଷ ᇱ and ‫ܩ‬ . It is proved that 1) the harmonic feedback path makes no effect to the oscillation frequency and ‫ܣ‬ ଵ .…”

Section: Figure 3 Harmonics Feedback Pathmentioning

confidence: 99%

“…Second, the test feature is based only on the measurement of the oscillation frequencies and may not give satisfying fault coverage. Finally, a non-linear analysis is required to meet high accuracy, which makes this method more complex [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Oscillation-based diagnosis by using harmonics analysis on analog filters

Wang

Meng

et al. 2014

Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test

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The Oscillation-Based Test (OBT) method converts the circuits under test (CUTs) into self-oscillating mode by changing CUT's typology or adding feedback path(s). In traditional OBT, the frequencies and amplitudes of sinusoidal oscillation are used as fault features to build up the fault dictionary, which is capable of test but not diagnosis. This paper designs harmonic feedback path to enlarge the harmonics in oscillation, and then builds up fault dictionary to diagnose the analog faults and eliminate the deviation effects by membership functions. The simulation and PCB experiment results prove that the proposed method is both applicable and practical.

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Section: Design Of Harmonicsfeedback Pathmentioning

confidence: 99%

Section: Figure 3 Harmonics Feedback Pathmentioning

confidence: 99%

See 1 more Smart Citation

Oscillation-based diagnosis by using harmonics analysis on analog filters

Wang

Meng

et al. 2014

Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test

View full text Add to dashboard Cite

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“…White noise, with an amplitude of 1% of the output signals, was added to the simulated signals to verify robustness, though the link between this introduction and probability component value variation is not presented. Other prior literature on OBD includes membership function diagnosis in [12], with the state-of-the-art work in [13] incorporating simultaneous Monte Carlo statistical variation for non-faulty component values.…”

Section: Introductionmentioning

confidence: 99%

Parametric Circuit Fault Diagnosis Through Oscillation-Based Testing in Analogue Circuits: Statistical and Deep Learning Approaches

2022

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Oscillation-based testing of analogue electronic filters removes the need for test signal synthesis. Parametric faults in the presence of normal component tolerance variation are challenging to detect and diagnose. This study demonstrates the suitability of statistical learning and deep learning techniques for parametric fault diagnosis and detection by investigating several time-series classification techniques. Traditional harmonic analysis is used as a baseline for an in-depth comparison. Eight standard classification techniques are applied and compared. Deep learning approaches, which classify the timeseries signals directly, are shown to benefit from the oscillator startup region for feature extraction. Global average pooling in the convolutional neural networks (CNN) allows for Class Activation Maps (CAM).This enables interpreting the time-series signal's discriminative regions and confirming the importance of the start-up oscillation signal. The deep learning approach outperforms the harmonic analysis approach on simulated data by an average of 11.77% in classification accuracy for the three parametric fault magnitudes considered in this work.

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“…For the ladder filters that can not be partitioned, alternative way to applicate OBT have been addressed in [19][20][21]. [22] presented a new performance characterization of OBT by using parametric fault models and evaluated the ability of the addressed test strategy for testing two fifth order low pass filters. [23] proposed the extension of OBT into Complex Oscillation Based Test (COBT) with the exploitation of chaotic oscillation regimes and considered its application to band pass (BP) filters.…”

Section: Introductionmentioning

confidence: 99%

Oscillation-Based DFT for Second-Order Bandpass OTA-C Filters

Hasan

Yanqing

Sun

2017

Circuits Syst Signal Process

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This paper describes a design for testability technique for second-order bandpass operational transconductance amplifier and capacitor filters using an oscillation-based test topology. The oscillation-based test structure is a vectorless output test strategy easily extendable to built-in self-test. The proposed methodology converts filter under test into a quadrature oscillator using very simple techniques and measures the output frequency. Using feedback loops with nonlinear block, the filter-to-oscillator conversion techniques easily convert the bandpass OTA-C filter into an oscillator. With a minimum number of extra components, the proposed scheme requires a negligible area overhead. The validity of the proposed method has been verified using comparison between faulty and faultfree simulation results of Tow-Thomas and KHN OTA-C filters. Simulation results in 0.25μm CMOS technology show that the proposed oscillation-based test strategy for OTA-C filters is suitable for catastrophic and parametric faults testing and also effective in detecting single and multiple faults with high fault coverage.

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Estimating the quality of Oscillation-Based Test for detecting parametric faults

Cited by 4 publications

References 13 publications

Oscillation-based diagnosis by using harmonics analysis on analog filters

Oscillation-based diagnosis by using harmonics analysis on analog filters

Parametric Circuit Fault Diagnosis Through Oscillation-Based Testing in Analogue Circuits: Statistical and Deep Learning Approaches

Oscillation-Based DFT for Second-Order Bandpass OTA-C Filters

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