Faulty Condition

Faulty Condition

 

a state of a technical device in which at least one of its main or supplementary parameters deviates from the requirements stated in technical specifications. A device may become faulty because of failure or damage.

Failure makes a device inoperative, since in this case at least one of the main parameters does not conform to specifications. Damage does not necessarily make a device inoperative; it may remain operative if the deviation from technical requirements is confined to supplementary parameters. An example of a device that is faulty but operative may be a radio receiver with all main parameters still within the required limits but with a burned-out lamp for illumination of the tuning scale. The same radio receiver would become inoperative in case of a break in the powersupply circuit or a failure of an electron tube (or transistor) in one of the amplifier stages.

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It can be observed that k--means algorithm classifies, for all cases, of healthy condition during startup transient and steady state, almost all the cases (37 of 38) for faulty condition during both regimes at 50 Hz, which represent a good classification effectiveness.
Sources stated that most of the accidents were happened owing to the faulty condition of railway tracks.
Islamabad -- The Federal Capital inhabitants are facing acute water shortage for past many weeks owing to the faulty condition of water filtration plants.
In the past period the fortification of the historical monument has been completed, parts of the faulty condition have been repaired, reconstruction of the interstate cover has been completed and communications lines have been laid.
This metric is generally used to determine how good a method is in discriminating between a normal and a faulty condition. Given a "discriminator" or a "scalar operator" that is acting on a set of data, the Bhattacharyya Distance is a measure of the statistical separability of two sets, "Normal" (N) and "Fault" (F).
In the first faulty condition (three turns), [V.sub.CN] is connected to [C.sub.1] terminal.
Department in a faulty condition. Neither it has equipment nor
In the presented graphs, red and dashed navy blue lines are representative of experimental data and simulation results, respectively, under the faulty condition. In the same way, purple and green lines are representative of experimental data and simulation results under fault-free condition.
Voltage of phase A and phase B falls to zero, while voltage swell which exists in phase C can be seen during the faulty condition. In the same way, the current of phase A and phase B shoots up to its maximum value, while the current of phase C remains zero, Figure 13.
Fault detection can be considered as a special classification problem involved in model-based method [22] and data-based method, with the purpose to timely recognise faulty condition. With the help of cross-validation algorithm to optimise parameters, the performance of classification is greatly enhanced [23-25].
Firstly, the method adopted with pattern recognition collects history data under normal condition and faulty condition. Then, the supervised decision making algorithm is trained with the feature samples that have been extracted from history data and belong to explicit set of each pattern [4].