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

(4 citation statements)

References 10 publications

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“…The furan content analysis is carried out to assess the degree of degradation of the winding's insulating paper. However, recent studies have proven that the furan content may be inaccurate to properly evaluate the state of the insulating paper [30][31][32]. Taking into account the facts stated above, this paper proposes the replacement of the furan content criterion for the DP one.…”

Section: Materials and Methods: Risk Assessment Algorithm 21 Health I...mentioning

confidence: 99%

Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance

2021

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In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the inherent risk during the operation of PT. However, most proposed methodologies tend to analyze PT as individuals and not as a fleet. A fleet assessment helps the asset manager make sound decisions regarding the maintenance scheduling for groups of PT with similar conditions. This paper proposes a new methodology to assess the risk of PT fleets, considering the technical condition and the strategic importance of the units. First, the state of the units was evaluated using a health index (HI) with a fuzzy logic algorithm. Then, the strategic importance of each unit was assessed using a weighting technique to obtain the importance index (II). Finally, the analyzed units with similar HI and II were arranged into a set of clusters using the k-means clustering technique. A fleet of 19 PTs was used to validate the proposed method. The obtained results are also provided to demonstrate the viability and feasibility of the assessment model.

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Section: Materials and Methods: Risk Assessment Algorithm 21 Health I...mentioning

confidence: 99%

Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance

2021

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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%

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Improved System Based on ANFIS for Determining the Degree of Polymerization

Nicola¹,

Duță²,

Nitu³

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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