Detection of Self-Healing Discharge in Metallized Film Capacitors Using an Ultrasonic Method

Ma, Yue; Shen, Haitao; Pei, Chunming; Zhang, Huanyu; Junaid, Muhammad; Wang, Yuxing

doi:10.3390/electronics9111893

Cited by 4 publications

(1 citation statement)

References 21 publications

(24 reference statements)

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“…Ultrasound-based techniques and systems are nowadays exploited in several very different areas. Biomedical investigations [1][2][3][4][5], non-destructive tests (NDT) [6][7][8], ultrasound levitation [9], nuclear safety [10], industrial monitoring of production processes [11][12][13], robotics [14], Doppler investigations [15], personal identification [16], and oil industry [17] are just a few examples of the employments that confirm the widespread presence of ultrasounds in our modern world. Although high-end systems, like clinical or research echograph [18][19][20], employ hundreds of independent ultrasound channels and require specific frond-end electronics [21,22], most of the aforementioned applications are based on a single ultrasound channel, and are preferably realized through discrete electronic devices.…”

Section: Introductionmentioning

confidence: 99%

Linear Ultrasound Transmitter Based on Transformer with Improved Saturation Performance

Ricci

Russo

2021

Electronics

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Ultrasound methods are currently employed in a wide range of applications. They are integrated in complex electronics systems, like clinical echographs, but also in small and compact boards, like industrial sensors, embedded systems, and portable devices. Ultrasound waves are typically generated by energizing a piezoelectric transducer through a high-voltage sequence of small sinusoidal bursts. Moreover, in several applications, the ultrasound board should work in a wide frequency range. This makes the transmitter, i.e., the electronics that drives the transducer, a key part of the circuit. The use of a small transformer simplifies the electronics and reduces the need of high-voltage power sources. Unfortunately, the transformer magnetic core, when subjected to the sequence of bursts employed in ultrasound, is particularly prone to saturation. This phenomenon limits the maximum voltage and/or the minimum frequency the transformer can be employed for. In this work, a transmitter based on a transformer is proposed. Inspired by the technique currently employed in the power network transformers, we added a prefluxing circuit, which improves the saturation performance 2-fold. The proposed transmitter was implemented in a test board and experimented with two commercial transformers at 80 Vpp. Measurements show that the proposed prefluxing circuit moves down the minimum usable frequency 2-fold: from 400 to 200 kHz for one of the two transformers, and from 2.4 to 1.2 MHz for the other.

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Section: Introductionmentioning

confidence: 99%

Linear Ultrasound Transmitter Based on Transformer with Improved Saturation Performance

Ricci

Russo

2021

Electronics

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Study of the in situ test setup and analysis methods for self-healing properties of metallized film capacitors

Zhou,

Chen,

et al. 2024

Review of Scientific Instruments

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Metallized film capacitors (MFCs) are widely used in the power electronics industry due to their unique self-healing (SH) capability. SH performance is an essential assessment for MFC reliability verification in industrial production. The SH phenomenon of metallized films usually occurs rapidly in a very short period, and its real-time evolution details are often difficult to capture and analyze. In this paper, a test system for the SH performance of metallized films for capacitors was constructed. The system consists of three components: a voltage–current characteristic testing and current pulse capture device, a microscopic image real-time acquisition device, and an integrated analysis processing device. Through the voltage–current characteristic testing and current pulse capture device, the electrical parameters of the SH point, such as SH times, breakdown field strength, SH current, and SH energy, are obtained; through a microscopic image real-time acquisition device, the real-time spatial positioning of the SH point was obtained, and the interconnection between the morphology of the SH point and the electrical properties was established. The relationship between the SH point and the temperature distribution was further established using thermal imaging technology, which lays the foundation for a thorough and timely assessment and analysis of the failure mechanism and the real-time evolution of the metallized film SH process. This significantly improves the effectiveness of SH property research.

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Towards Data-Driven Fault Diagnostics Framework for SMPS-AEC Using Supervised Learning Algorithms

Kareem

Hur

2022

Electronics

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The service life of aluminium electrolytic capacitors is becoming a critical design factor in power supplies. Despite rising power density demands, electrolytic capacitors and switching devices are the two most common parts of the power supply that age (deteriorate) under normal and diverse working conditions. This study presents a fault diagnostics framework integrated with long-term frequency for a switched-mode power supply aluminium electrolytic capacitor (SMPS-AEC). Long-term frequency condition monitoring (CM) was achieved using the advanced HIOKI LCR meter at 8 MHz. The data acquired during the experimental study can help to achieve the needed paradigm from various measured characteristics of the SMPS/power converter component to detect anomalies between the capacitors selected for analysis. The CM procedure in this study was bound by the electrical parameters—capacitance (Cs), equivalent series resistance (ESR), dissipation factor (DF), and impedance (Z)—-acting as degradation techniques during physical and chemical changes of the capacitors. Furthermore, the proposed methodology was carried out using statistical feature extraction and filter-based correlation for feature selection, followed by training, testing and validation using the selected supervised learning algorithms. The resulting assessment revealed that with increased data capacity, an improved performance was achieved across the chosen algorithms out of which the k-nearest neighbors (KNN) had the best average accuracy (98.40%) and lowest computational cost (0.31 s) across all the electrical parameters. Further assessment was carried out using the fault visualization aided by principal component analysis (PCA) to validate and decide on the best electrical parameters for the CM technique.

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Detection of Self-Healing Discharge in Metallized Film Capacitors Using an Ultrasonic Method

Cited by 4 publications

References 21 publications

Linear Ultrasound Transmitter Based on Transformer with Improved Saturation Performance

Linear Ultrasound Transmitter Based on Transformer with Improved Saturation Performance

Study of the in situ test setup and analysis methods for self-healing properties of metallized film capacitors

Towards Data-Driven Fault Diagnostics Framework for SMPS-AEC Using Supervised Learning Algorithms

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