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Hierarchical approach to diagnosis of electronic circuits using ANNs

Miona Andrejevic-Stosovic, Vanco Litovski
2010 Journal of Automatic Control  
 Abstract-In this paper, we apply artificial neural networks (ANNs) to the diagnosis of a mixed-mode electronic circuit.  ...  For every level, using the simulation-before-test (SBT) approach, fault dictionary was created first, containing data relating the fault code and the circuit response for a given input signal.  ...  Accordingly if α is 0.1, the maximum speed-up is 10.  ... 
doi:10.2298/jac1001045a fatcat:yvkhctfecnfpbcijvkq5y2s5g4

Hierarchical approach to diagnosis of electronic circuits using ANNs

Miona Andrejevic Stosovic, Vanco Litovski
2010 10th Symposium on Neural Network Applications in Electrical Engineering  
 Abstract-In this paper, we apply artificial neural networks (ANNs) to the diagnosis of a mixed-mode electronic circuit.  ...  For every level, using the simulation-before-test (SBT) approach, fault dictionary was created first, containing data relating the fault code and the circuit response for a given input signal.  ...  Accordingly if α is 0.1, the maximum speed-up is 10.  ... 
doi:10.1109/neurel.2010.5644091 fatcat:vdpfdga6cvcyvdhmqggb72umqu

Survey of Scan Chain Diagnosis

Yu Huang, Ruifeng Guo, Wu-Tung Cheng, James Chien-Mo Li
2008 IEEE Design & Test of Computers  
using several case studies. 23 Figure 1b illustrates another method for speeding up simulation-based diagnosis.  ...  To speed up the diagnosis procedure, researchers have proposed several techniques.  ... 
doi:10.1109/mdt.2008.83 fatcat:ns4qvegwejek3jv52wysdstfsq

Board-level fault diagnosis using an error-flow dictionary

Zhaobo Zhang, Zhanglei Wang, Xinli Gu, Krishnendu Chakrabarty
2010 2010 IEEE International Test Conference  
In this paper, a generic fault-diagnosis method based on an error-flow dictionary is presented to identify the root cause of functional failures on a chip or board.  ...  It is important to narrow down the defective module in a failed component during board-level diagnosis.  ...  Although a traditional fault dictionary can be used in locating the root cause of failures in small circuits, they are not applicable to the diagnosis of functional failures in large systems due to the  ... 
doi:10.1109/test.2010.5699251 dblp:conf/itc/ZhangWGC10 fatcat:t4ezjz2buffrxklqkyggqubwmy

Diagnostic Test Generation for Transition Delay Faults Using Stuck-At Fault Detection Tools

Yu Zhang, Bei Zhang, Vishwani D. Agrawal
2014 Journal of electronic testing  
First, the detection of a transition delay fault or the diagnosis of a fault pair can be modeled in only one instead of two or four time-frames of the CUT.  ...  Third, the proposed ATPG models can be expanded into two time frames to facilitate the use of combinational ATPG tools, though with lower modeling complexity than was possible before.  ...  Flow of Cause-Effect Diagnosis Algorithm A flowchart of cause-effect diagnosis is shown in Fig. 1 .  ... 
doi:10.1007/s10836-014-5490-4 fatcat:pvjhivdrjzc5hiqt3wgzq4jtsi

Adaptive Debug and Diagnosis without Fault Dictionaries

Stefan Holst, Hans-Joachim Wunderlich
2007 European Test Symposium  
The new adaptive, statistical approach combines a flexible and powerful effect-cause pattern analysis algorithm with highresolution ATPG.  ...  For recent process technologies, defect mechanisms are increasingly complex, and continuous efforts are made to model these defects by using sophisticated fault models.  ...  Fault dictionaries vs. adaptive diagnosis Cause-effect diagnosis can be speeded up, if for each fault and each failing simulated pattern the erroneous output is stored in a dictionary [21] .  ... 
doi:10.1109/ets.2007.9 dblp:conf/ets/HolstW07 fatcat:vh6yhcvpybfgpge2ffsdi3fuie

Adaptive Debug and Diagnosis Without Fault Dictionaries

Stefan Holst, Hans-Joachim Wunderlich
2009 Journal of electronic testing  
The new adaptive, statistical approach combines a flexible and powerful effect-cause pattern analysis algorithm with highresolution ATPG.  ...  For recent process technologies, defect mechanisms are increasingly complex, and continuous efforts are made to model these defects by using sophisticated fault models.  ...  Fault dictionaries vs. adaptive diagnosis Cause-effect diagnosis can be speeded up, if for each fault and each failing simulated pattern the erroneous output is stored in a dictionary [21] .  ... 
doi:10.1007/s10836-009-5109-3 fatcat:zohnxt2swrhaljzhq5mvyr2ggi

Adaptive Debug and Diagnosis without Fault Dictionaries

Stefan Holst, Hans-Joachim Wunderlich
2008 2008 13th European Test Symposium  
The new adaptive, statistical approach combines a flexible and powerful effect-cause pattern analysis algorithm with highresolution ATPG.  ...  For recent process technologies, defect mechanisms are increasingly complex, and continuous efforts are made to model these defects by using sophisticated fault models.  ...  Fault dictionaries vs. adaptive diagnosis Cause-effect diagnosis can be speeded up, if for each fault and each failing simulated pattern the erroneous output is stored in a dictionary [21] .  ... 
doi:10.1109/ets.2008.40 dblp:conf/ets/HolstW08 fatcat:rfnthktg2ffq5di52xi5iuotwm

Wind Turbine Blade Bearing Fault Diagnosis Under Fluctuating Speed Operations via Bayesian Augmented Lagrangian Analysis

Zepeng Liu, Xiaoquan Tang, Xuefei Wang, Jose Errea Mugica, Long Zhang
2020 IEEE Transactions on Industrial Informatics  
Index Terms-Bayesian augmented Lagrangian (BAL), blade bearing fault diagnosis, slow-speed bearing, vibration signal analysis.  ...  To extract weak fault signals masked by heavy noise, a novel signal denoising method, Bayesian augmented Lagrangian (BAL) algorithm, is used to build a sparse model for noise reduction.  ...  Validation on a Seeded Defect Bearing In this section, we use an open bearing dataset (the dataset numbering is O-A-2) from the SpectraQuest machinery fault simulator to validate the effectiveness of the  ... 
doi:10.1109/tii.2020.3012408 fatcat:yamf4ve4snehrak42zlgycizvi

Some common aspects of design validation, debug and diagnosis

T. Arnaout, G. Bartsch, H.J. Wunderlich
2006 Third IEEE International Workshop on Electronic Design, Test and Applications (DELTA'06)  
Diagnosis techniques may be used after manufacturing, for chip characterization and field return analysis, and even for rapid prototyping.  ...  Design, Verification and Test of integrated circuits with millions of gates put strong requirements on design time, test volume, test application time, test speed and diagnostic resolution.  ...  Nearly all of the diagnosis algorithms rely on a scan design. The traditional approach for diagnosis is using a precalculated fault dictionary for circuit response analysis.  ... 
doi:10.1109/delta.2006.79 dblp:conf/delta/ArnaoutBW06 fatcat:46msbnlemjdpxezf4vp4j6zjle

An intra-cell defect grading tool

A. Bosio, L. Dilillo, P. Girard, A. Todri-Sanial, A. Virazel, S. Bernabovi, P. Bernardi
2014 17th International Symposium on Design and Diagnostics of Electronic Circuits & Systems  
speed up the simulation time).  ...  This leaf is not considered for the diagnosis, simply because logic diagnosis look for the root cause of observed failures.  ... 
doi:10.1109/ddecs.2014.6868814 dblp:conf/ddecs/BosioDGTVBB14 fatcat:z6ik5b6tf5dlvptddvcwg7nvwq

Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization

Liu He, Cai Yi, Jianhui Lin, Andy C.C. Tan, Dr Mahdi Mohammadpour
2020 Shock and Vibration  
The convolutional sparse coding technique based on the dictionary learning algorithm (CSCT-DLA) provides an effective algorithm framework for extracting the impulses caused by bearing defect.  ...  Wheelset bearing is a critical and easily damaged component of a high-speed train.  ...  If the number of dictionaries is appropriate, UC-DLA has a good effect on impulses extraction.  ... 
doi:10.1155/2020/8879732 fatcat:mkncc67ykvhgnaamrnbn2sb74a

Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery

Hongchao Wang, Wenliao Du
2020 Complexity  
Firstly, the sparse representation self-learning dictionary method-K-means singular value decomposition (KSVD) is improved and the improved KSVD (IKSVD) method is used to denoise the original signal, and  ...  Besides, the traditional SC method has a drawback of low computation efficiency which hinders its wide application to some extent.  ...  EDS is a classical and effective fault diagnosis method for rolling bearing.  ... 
doi:10.1155/2020/9857839 fatcat:jb6jixtznbb4rlygue62fr47my

Bearing Fault Diagnosis Using Orthogonal Matching Pursuit with Pulse Atoms Based on Vibration Model

Huijie Zhu, Xinqing Wang, Yanfeng Li, Mengxi Liu, Tianshuai Liu
2015 Journal of Systems Science and Information  
In conclusion, it provides a new way to the diagnosis for bearings.  ...  AbstractIn this paper, a new approach to rolling bearing diagnosis is proposed, which applied orthogonal matching pursuit with pulse atoms.  ...  time, h(t) is a pulse oscillation caused by the crash of localized defect, λ is the error caused by slip, and n(t) is a random noise.  ... 
doi:10.1515/jssi-2015-0164 fatcat:2nuwwfhclvfqrj4ccrvc2d6hii

Online Scan Diagnosis : A Novel Approach to Volume Diagnosis

I-De Huang, Pallav Gupta, Loganathan Lingappan, Vijay Gangaram
2018 2018 IEEE International Test Conference (ITC)  
Diagnosis or fault dictionary based methods are employed to pre-generate a suspect database (DB) for each design partition.  ...  Diagnosis results have been validated by comparing against the output of a commercial diagnosis tool on thousands of wafers; more importantly, 97% of actual defects confirmed by physical failure analysis  ...  Unlike traditional dictionary based algorithms, Berkeley DB requires only a small chunk of a dictionary is loaded into memory at any given time.  ... 
doi:10.1109/test.2018.8624686 dblp:conf/itc/HuangGLG18 fatcat:dp52hunfanbklpdwsznupfan3a
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