Sentence examples similar to faulty classification from inspiring English sources

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All the protective relaying functions such as fault detection, fault classification, faulty phase identification and fault location estimation have been considered in this work.

From the above discussions on backup fault detection, parent bus identification, determination of the faulty branch, classification of faults and detection of power system contingencies, it is inferred that the SPC takes an appropriate decision for enhancing the security and dependability attributes of the protection system using wide-area current phasor measurements.

This paper proposes an ANN based fault detection, section identification (direction discrimination), fault classification and faulty phase selection schemes which consider the fundamental components of current and voltage signals of 3-phase as input.

Fault detection, parent bus identification, fault classification, determination of the faulty branch and its relays to be supervised are obtained using ASWABP scheme in SPC.

Different fault resistances such as 0Ω, 20Ω, 40Ω, 60Ω and 80Ω were taken into consideration for identifying the fault, the faulty section and classification of fault.

Non-sampling errors encompass all other sources of errors involved in a survey, which can be the faulty application of definitions, classification errors, measurement errors, errors arising from the application of functions and models, calculation errors, or frame errors (i.e. the sample population is different from the target population).

As it is described in this paper, highly motivating results are obtained both on the separation of healthy motor and faulty one and on the classification of fault types.

The computed transformation coefficients form the feature set for the classification of good and faulty conditions of the components of centrifugal pump.

Once the parent bus is identified and the faulty branch is detected then fault classification algorithm is executed as illustrated in Fig. 3.

The total numbers of samples utilized to train the neural network are 5082 to identify faulty section and 4089 for fault classification & phase identification and 4085 for ground identification.

Incorrect disease severity classification may lead to faulty decision making in choosing the most appropriate treatment for the individual patient.

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