Modern Probability Theory.

Bhat, B. R.

doi:10.2307/2530732

Cited by 17 publications

(23 citation statements)

References 0 publications

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“…Having such combinations, every input MF generates 125 combinations with the MFs of the other four inputs, without repetitions [23], [24]. Thus, in total 25 x 125 = 3125 combinations, yielding 3125 fuzzy logic rules, are possible [25]. Additional information on the total possible combinations of input MFs, and the generation and reduction of fuzzy logic rules can be found in [23]- [25].…”

Section: Fuzzzy Inferencementioning

confidence: 99%

“…Thus, in total 25 x 125 = 3125 combinations, yielding 3125 fuzzy logic rules, are possible [25]. Additional information on the total possible combinations of input MFs, and the generation and reduction of fuzzy logic rules can be found in [23]- [25]. Making use of each of these 3125 fuzzy rules would be very time consuming.…”

Section: Fuzzzy Inferencementioning

confidence: 99%

“…It ends at deterioration level of gas concentration having a maximum DOM of unity. Such ending MFs of the inputs in the proposed fuzzy model provide the more accurate output health index of oil [23]- [25]. Output MF in the relevant fuzzy rule Output MF corresponding to specifiec set of input gas concentrations Input dissolved gas concentration value…”

Section: Symbol Meaningmentioning

confidence: 99%

“…Acidity is defined as the measure of free organic and inorganic acids present in the transformer oil, and is expressed in terms of milligrams of potassium hydroxide required to neutralize the total free acid in one gram of oil [25].…”

Section: Aciditymentioning

confidence: 99%

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Expert System for Health Index Assessment of Power Transformers

Ranga¹,

Chandel²

2017

ijeei

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A fuzzy logic based technique using dissolved gas analysis to determine the health index of the oil in a power transformer is proposed in the present paper. The proposed fuzzy model integrates the DGA standards and the practical knowledge of transformer diagnostics experts in making a consistent decision on the health condition of the transformer oil. Twenty different transformer oil samples of a power utility validate the reliability of the proposed diagnostic models. Furthermore, a fuzzy logic based overall transformer health assessment model has been proposed in this paper. This model uses several diagnostic tests data of transformers including water content, break down voltage, interfacial tension. It is envisioned that the proposed fuzzy models will prove very convenient even for inexperienced engineers to determine the health index of the transformers. This shall help in initiating suitable action for proper maintenance of the transformers and enhancing their remnant life.

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Section: Fuzzzy Inferencementioning

confidence: 99%

Section: Fuzzzy Inferencementioning

confidence: 99%

Section: Symbol Meaningmentioning

confidence: 99%

Section: Aciditymentioning

confidence: 99%

See 2 more Smart Citations

Expert System for Health Index Assessment of Power Transformers

Ranga¹,

Chandel²

2017

ijeei

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show abstract

“…To obtain the unconditional distribution, take expectations on both sides with respect to the distribution of V 22 . First, we need the distribution of δ.…”

Section: Multiple Correlationmentioning

confidence: 99%