The Investigation of Detect Position of Partial Discharge in Cast-Resin Transformer Using High-Frequency Current Transformer Sensor and Acoustic Emission Sensor
Abstract:The lifetime of a cast-resin transformer mainly depends on the condition of insulation material. Partial discharge (PD) is an important reason for insulation deterioration in cast-resin transformers. Identifying the position of PD is very necessary for damage assessment while the transformer is still operating, and the transformer is covered by housing. This paper proposes the investigation of a cast-resin transformer using an AE sensor and HFCT sensor to specify the precise source of PD. In this study, four A… Show more
“…The time of arrival of the acoustic wave is thus given by equation (4) : where V oil and V Steel are respectively the longitudinal propagation velocities of the signal in oil and steel. The one used to calculate the flight time for a direct path is given by the relationship [ 7 , 12 ]: …”
Section: Mathematical Model Of the Acoustic Wave Generated By Partial...mentioning
confidence: 99%
“…The degradation of the insulation system is due to a harmful phenomenon called partial discharge (PD) [ [6] , [7] , [8] , [9] , [10] ]. The PD level is closely related to the insulation level of a transformer, which is why monitoring PD provides information on the condition of the insulation system [ [11] , [12] , [13] , [14] ]. To ensure the proper functioning of the transformer and to ensure its reliability, permanent monitoring of the PD is necessary [ [15] , [16] , [17] ].…”
“…The time of arrival of the acoustic wave is thus given by equation (4) : where V oil and V Steel are respectively the longitudinal propagation velocities of the signal in oil and steel. The one used to calculate the flight time for a direct path is given by the relationship [ 7 , 12 ]: …”
Section: Mathematical Model Of the Acoustic Wave Generated By Partial...mentioning
confidence: 99%
“…The degradation of the insulation system is due to a harmful phenomenon called partial discharge (PD) [ [6] , [7] , [8] , [9] , [10] ]. The PD level is closely related to the insulation level of a transformer, which is why monitoring PD provides information on the condition of the insulation system [ [11] , [12] , [13] , [14] ]. To ensure the proper functioning of the transformer and to ensure its reliability, permanent monitoring of the PD is necessary [ [15] , [16] , [17] ].…”
“…AE involves the propagation of elastic waves within a material, driven by structural changes induced by plastic deformation, crack growth, and the redistribution of internal stresses, ultimately leading to the release of energy [34]. This technology is currently being applied to various materials, including metals [35], concrete [36], composites [37], and polyethene [38], and to various engineering structures, such as bridges [39], pressure vessels [40], transformers [41], aircraft structures [42], and railway axles [43], for damage monitoring and identification.…”
Ensuring the reliability of process gas compressors is critical for underground gas storage, as piston rod fractures can lead to serious accidents, such as natural gas leaks or explosions. On-time monitoring and early detection play a vital role in preventing catastrophic consequences, minimising costs, and reducing production losses due to unplanned downtime. This study presents a novel accelerated life-testing method designed to replicate the fracture events of reciprocating compressor piston rods. By accelerating the induced crack initiation and propagation to the final fracture, comprehensive analyses of the fracture results are performed to reveal the piston rod fracture mechanism and the resulting secondary damage to the unit. The research further presents an innovative approach for identifying piston rod crack propagation by means of acoustic emission. Through kinetic analysis and time–frequency domain analysis, the study elucidates two mechanisms responsible for triggering crack signals during the compressor operation: the contact impact between the crosshead pin and the bearing due to the piston rod load reversal, and crack propagation occurring before the maximum tensile load is reached. In addition, the study identifies the piston rod crack expansion signal frequency band and achieves a high-sensitivity identification of crack dynamic growth by extracting signal sub-band features associated with crack propagation. Then, a prediction model of the fatigue crack growth rate was established based on the AE energy release rate, which provides a quantitative assessment of dynamic crack propagation during compression. This method aims to provide a maintenance strategy for piston rod fractures, thereby increasing the operational safety of critical dynamic equipment in underground gas storage.
“…In addition, characteristics are required such as steel core, winding unit, insulation, cooling in winding unit and calculation of power loss and short-circuit impedance percentage. In addition, it also takes into account the distance factor to avoid problems from the partial discharge (PD) of the transformer when on load [9,10]. However, the values obtained for the transformer design using the AE technique are for design purposes only.…”
This study used the Area Elimination Method (AEM) of transformer design with transformer characteristic simulation. The multidimensional variable of physical parameters such as magnetic density, current density, voltage and coil turn was performed. This method was used in designing the 8000 kVA 22,000–3300/1905 V oil-type large distribution transformer. The result from a design found that the objective function tries to reduce the material to be used, and less core steel, less conductors, less transformer oil or less transformer tanks may cause an increasing load loss or increasing temperature rise, but we have calculated the temperature in the winding and design the radiator fins at the same time. After designing the transformer with AEM and it being manufactured in the production process, the transformer was tested according to IEC standards. It was confirmed that the power loss tests with no load yielded lower power loss than the standard value. In addition, the transformer passed the satisfaction test and the results of this design were built and tested with IEC 60076 standards. The information from the design using the Area Elimination Method could be a guarantee of standardized accuracy for oil distribution transformers. This also saves time and increases design efficiency for transformer designers.
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