Online Monitoring Technology of Power Transformer based on Vibration Analysis

Meng, Junhong; Singh, Maninder; Sharma, Manish; Singh, Daljeet; Kaur, Preet; Kumar, Rajeev

doi:10.1515/jisys-2020-0112

Cited by 13 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) 11/22 kps sampling rate (2) 12 bit sampling accuracy (3) Sampling time not less than 20 seconds (4) Synchronous storage capacity of not less than 60000 data in each channel (5) e sampling results are displayed in real time and can also be played back or postprocessed by other software [13] Due to the particularity of the data structure of Lab-VIEW 8.2, effective data text, curve group diagram, and analysis curve group diagram can be formed through the connection of Microsoft office software and origin data processing software.…”

Section: Evaluation Software Systemmentioning

confidence: 99%

Design of the Violin Performance Evaluation System Based on Mobile Terminal Technology

Lin

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In order to solve the problem that violin performance evaluation is too subjective, this paper proposes a violin performance evaluation system based on mobile terminal technology. Violin sound evaluation mainly includes two indicators such as pronunciation quality and distance transmission ability. LabVIEW 8.2 is used to collect data, and fast Fourier transform (FFT) is used to analyze the time-domain signal in frequency domain, and the pronunciation process of violin is discussed in depth. Using statistical methods to process the test data of pronunciation distance transmission, a parameter model representing the pronunciation distance transmission ability is proposed, and finally the WeChat applet is used to control the recording and display. The results show that the process of violin sound production is accompanied by the weakening of octave peaks and the development of overtone peaks. The stable stage is marked by the stability of each octave peak and overtone peak. The sound head initially presents a simple excitation response, with only one near octave overtone and three cycles. Its maximum overtone peak/dominant frequency peak ratio coefficient is k = 0.36; the back entry complex excitation response has about nine cycles, with k = 0.735. Then enter the quasi-stable excitation response, whose waveform is similar to the typical A-string empty string pull waveform in the later stage, with k = 0.36; the maximum overtone peak/main frequency peak proportional coefficient is k = 0.39 in the rising section of the start, k = 0.2 in the loudest section, and k = 0.26 in the stable section. Conclusion. The system has initially established a new instrumented evaluation method, which provides a way of thinking for improving the quantifiable evaluation system in the future.

show abstract

Section: Evaluation Software Systemmentioning

confidence: 99%

Design of the Violin Performance Evaluation System Based on Mobile Terminal Technology

Lin

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…However, the natural background of rare earth elements is high, and the detection sensitivity is limited, which also limits their wide application. Not only the selection of tracers is undergoing Longes but also some limitations and irrationalities in the process of theoretical research and mineral experiments are constantly being improved [ 3 ]. It mainly includes the progress of tracer detection technology, the improvement of testing technology, the development of a reservoir model and simulation technology, and the auxiliary verification of interpretation rationality.…”

Section: Introductionmentioning

confidence: 99%

Application of Isotope Tracer in Cross-Well Nanometre Tracer Testing

Pang

Zhao²,

Song

et al. 2022

International Journal of Analytical Chemistry

View full text Add to dashboard Cite

In order to understand the dynamic monitoring characteristics and heterogeneity characteristics of injection production wells in the monitoring area and judge the reservoir connectivity, this study puts forward the application method of isotope nanometre tracer in interwell nanometre tracer testing. The trace material nanometre tracer interwell monitoring technology was applied to well block J in a basin. Through the analysis of the morphological characteristics of the nanometre tracer production curve and the quantitative interpretation of trace material tracer, combined with the analysis of the advancing speed of the water line at the front edge of the nanometre tracer and the distribution of injected water wells, the nanometre tracer connectivity, and advancing speed, the characteristics of seepage channels and heterogeneity of the well groups in the study area were defined. The research results show that 8 oil wells in the monitoring area are controlled by water injection well J1, the injection water inrush direction is generally north, the main channel of injection water is mainly high-permeability strip, and the heterogeneity contradiction between layers is strong. It is recommended to adopt mild water injection. Conclusion. This study found that the dynamic connectivity between oil and water wells in the monitoring area is good.

show abstract

“…The power transformer's vibration route is caused by winding and core vibration, which affects the mechanical joints and the cooling oil applied to the tank surface [28]. The accelerometers, which are positioned on the windings and the tank, give data to a diagnosis system, which classifies the failures as generally core problems.…”

Section: Power Transformer Monitoring Techniquesmentioning

confidence: 99%

An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy Management Systems

et al. 2022

View full text Add to dashboard Cite

After the massive integration of distributed energy resources, energy storage systems and the charging stations of electric vehicles, it has become very difficult to implement an efficient grid energy management system regarding the unmanageable behavior of the power flow within the grid, which can cause many critical problems in different grid stages, typically in the substations, such as failures, blackouts, and power transformer explosions. However, the current digital transition toward Energy 4.0 in Smart Grids allows the integration of smart solutions to substations by integrating smart sensors and implementing new control and monitoring techniques. This paper is proposing a hybrid artificial intelligence multilayer for power transformers, integrating different diagnostic algorithms, Health Index, and life-loss estimation approaches. After gathering different datasets, this paper presents an exhaustive algorithm comparative study to select the best fit models. This developed architecture for prognostic (PHM) health management is a hybrid interaction between evolutionary support vector machine, random forest, k-nearest neighbor, and linear regression-based models connected to an online monitoring system of the power transformer; these interactions are calculating the important key performance indicators which are related to alarms and a smart energy management system that gives decisions on the load management, the power factor control, and the maintenance schedule planning.

show abstract

Online Monitoring Technology of Power Transformer based on Vibration Analysis

Cited by 13 publications

References 23 publications

Design of the Violin Performance Evaluation System Based on Mobile Terminal Technology

Design of the Violin Performance Evaluation System Based on Mobile Terminal Technology

Application of Isotope Tracer in Cross-Well Nanometre Tracer Testing

An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy Management Systems

Contact Info

Product

Resources

About