Fuzzy approach for residual life assessment of paper insulation

Nezami, Md. Manzar; Wani, Shufali Ashraf; Khan, Shakeb A.; Khera, Neeraj; Khan, Ajmal

doi:10.1109/catcon.2017.8280178

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…In [17] is builted a degradation model based on experimental data and field measurements in a research program conducted for CIGRE (International Council on Large Electric Systems) and found that a furfural molecule will result for every three cellulose chain splits [9], [24]. The system proposed in this paper was designed to determine the DP based on the 2-FAL ranges proposed in [6,7] as is presented in Table 1.…”

Section: Classical Methods For the Determination Of The Dpmentioning

confidence: 99%

“…According to [17], high paper degradation rates are reported when the CO2/CO ratio drops below 6. However, the application of this ratio in determining the condition of the cellulose insulation is not suitable due to the long-term oxidation of the oil or as a result of free air ingress due to leakage [24]. The following additional tests are proposed, as solutions to solve this problem: the analysis of furan compounds; the determination of the DP of paper using the paper samples, to analyze the cellulose insulation.…”

Section: Carbon Oxides (Co and Co2)mentioning

confidence: 99%

“…These are mainly fuzzy systems, neural networks, cognitive systems, natureinspired systems and hybrid intelligent systems containing these paradigms. The most common of these techniques used for the diagnostic of power transformers are the fuzzy logic and the artificial neural networks [18][19][20][21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Improved System Based on ANFIS for Determining the Degree of Polymerization

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et al. 2020

Adv. sci. technol. eng. syst. j.

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Transformer health assessment techniques, based on applicable standards, such as the dissolved gas analysis (DGA), through laboratory testing or online monitoring are used to analyze the symptoms of a failure which develops in transformers from an early stage. The DGA from a sample of dielectric liquid taken from the main tank generates information on the state of degradation of the active part. It was found that of all the furan derivatives which result from the degradation of insulation, 2-furfuraldehyde (2-FAL) is the only derivative which dissipates in large quantities in oil. Because of this, and due to its thermal stability as compared to other derivatives, 2-FAL is the best unit of measurement to determine and monitor the degree of polymerization (DP) of insulation. The poor accessibility of paper samples has led to difficulties in testing the ageing state of paper directly by measuring the tensile strength and the DP. It was developed methods to indirectly assess the ageing state of paper, by means of the chemical markers in oil which are associated with paper ageing. This article presents a method to determine the DP of solid insulation in transformers, which provides a faster and more accurate interpretation, as compared to the classical ones. The 2-FAL data resulting from the lab are recorded in a MySQL database, which is embedded in an intelligent system for diagnosis of DP (ISDDP) based on Adaptive Neuro-Fuzzy Inference System (ANFIS), generating at the output the report with the interpretation of the faults as word files. The automation of the DP diagnostic process will be achieved, allowing the operator to make timely decisions, to avoid any possible damages.

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Section: Classical Methods For the Determination Of The Dpmentioning

confidence: 99%

Section: Carbon Oxides (Co and Co2)mentioning

confidence: 99%