• Journal of Electrical Engineering and Technology
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• v.2 no.4
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• pp.485-493
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• 2007

This paper deals with the problem of detection of induction motor incipient faults. Artificial Neural Network (ANN) approach is applied to detect two types of incipient faults (1). Interturn insulation and (2) Bearing wear faults in single-phase induction motor. The experimental data for five measurable parameters (motor intake current, rotor speed, winding temperature, bearing temperature and the noise) is generated in the laboratory on specially designed single-phase induction motor. Initially, the performance is tested with two inputs i.e. motor intake current and rotor speed, later the remaining three input parameters (winding temperature, bearing temperature and the noise) were added sequentially. Depending upon input parameters, the four ANN based fault detectors are developed. The training and testing results of these detectors are illustrated. It is found that the fault detection accuracy is improved with the addition of input parameters.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.99-104
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• 1998

In this paper I designed test pattern generator which will be completely detected the faults of multi-stage Logic Circuit. 1 generated this pattern using the test pattern generation Logic Circuit. The generated test patterns compared with the exhausted testing was decreased pattern. This test pattern generator will detect the all single stuck-at faults in the multi-stage Logic Circuit. The choice of which of the many I.C testing methods to use can have a effect on the success or failure of the fault detected. One of the most important considerations is cost and designed test pattern generator is very low cost type.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.3
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• pp.135-142
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• 2012

The Quality of embedded system depends on the embedded software. As the complexity and the size of embedded software have been increasing, it is more likely that the software may include faults, and the reliability and stability issues are getting more important. In this paper, we propose a remote test tool for software based on VxWorks by using fault injection method. The test tool consists of test server and test client for testing on the cross development environment. The test server operates in the host system and user can not only test but also monitor the software by using it. The test client operates in the target system and it controls kernel objects and sends the input data into the software when receiving the control and data from the test server. We developed the prototype software and demonstrated the ability of testing software robustness by injecting faults.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.569-572
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• 1992

This paper describes a new method of pseudorandom testing of a digital circuit by use of correlation method and a neural network. The authors have recently proposed a new method of fault diagnosis of logical circuit by applying a pseudorandom M-sequence to the circuit under test, calculating the crosscorrelation function between the input and the output, and comparing the crosscorrelation functions with the references. This method, called MSEC method, is further extended by using a neural network in order to not only detect the existence of faults but also find the place or location of the faults. An experiment by using a simple digital circuit shows enough applicability of this method to industrial testing of circuit board.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.397-400
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• 1999

As the result of enhancement of CAD, Design Automation and manufacturing technology, it's on the increasing complexity, integration ratio, data signals, and pin count to IC chips. This brings about difficulties of testing, and incresing test time. Now One of the most cost-consuming procedure as integration ratio increases is the testing step. In this paper, we propose a new method, “Efficient TP(test point) assignment algorithm” using “input grouping”, This is helpful method to reducing test length without losing fault coverage. Experimental results show that proposed method reduces test length remarkably and doesn't miss fault coverage, with low hardware overhead Increasing.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.133-138
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• 2006

In this paper, we propose a software reliability growth model (SRGM) based on the testing domain, which is isolated by the executed test cases. This model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process. We consider that the fault detection rate of NHPP model is changed in the proposed SRGM. We obtain the maximum likelihood estimate, and compare goodness-of-fit with another existing software reliability growth model.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1980-1983
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• 2002

When a feedback bridging fault is activated in a circuit, logical oscillation may occur at a signal line. If the oscillation appears, the fault may not be detected by logic testing. In order to detect such bridging faults, output logic values of the circuit should be measured at higher frequency than frequency of the logical oscillation. In this paper, a method fur estimating the maximum frequency of logical oscillation is proposed to detect such bridging faults in a circuit by logic testing. Also, it is shown by some experiments that such bridging faults can be detected by measuring output logic values at the frequency obtained by the method.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.11
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• pp.536-541
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• 2000

Digital protective relay in power system play a prominent part. Simulators for the relay test were introduced in early 1980's. A number of open loop designs have been developed and recently, several developments of real-time simulators have been reported. But they are very high cost. And then they are difficult to apply for relay testing in small business. This paper presents the structure of low cost and performance of a new pc based tester for digital protective relay testing. The proposed tester was simulated of off-line with fault transient signals obtained from EMTP.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.170-178
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• 2011

In general, a software fault detection phenonenon is described by a software reliability model based on a nonhomogeneous Poisson process(NHPP). In this paper, we propose a software reliability growth model considering the differences of the software environments in both the testing phase and the operational phase. Also, we consider the problem of determining the optimal release time and the optimal warranty period that minimize the total expected software cost which takes account of periodic software maintenance(e.g. patch, update, etc). Finally, we analyze the sensitivity of the optimal release time and warranty period based on the fault data observed in the actual testing process.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.92-102
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• 2001

Software testing during development and operation should exercise to obtain the desired software quality and leave failure data set. So far, many software reliability models are classified and can be used to measure a software reliability only based on its failure history But, in practice, developers or testers of software systems must decide which existing software reliability model can be fitted. In this paper, we will show that an appropriate reliability model can be selected by considering relations between characteristics of each testing environment and models' assumptions. Several methods of software testing are presented and discussed. Also, unit test, integrated test, function test and system test that are sequentially exercised during development will be introduced.