Investigation of Bond Wire Lift-Off by Analyzing the Controller Output Voltage Harmonics for the Purpose of Condition Monitoring

Yüce, Firat; Hiller, Marc

doi:10.23919/epe20ecceeurope43536.2020.9215692

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…As mentioned above, the ETI-SoC-System is applicable in wide areas of research [14], for motor and grid control [15,16] as well as for HIL and PHIL [9,17] applications. Although the current performance allows a use in a wide research area, a continuous further development of the system is planned and has already started.…”

Section: Discussionmentioning

confidence: 99%

“…Since the measured values are available at high sample rate in the FPGA, adapted signal preprocessing can be implemented, which relieves the further signal processing in the control. Based on the simple example, other measurement and inverter or converter configurations of any complexity can be implemented easily and quickly [10,13,14].…”

Section: B Motor Testbenchmentioning

confidence: 99%

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A modular signal processing platform for grid and motor control, HIL and PHIL applications

Schmitz-Rode

Stefanski

Schwendemann

et al. 2022

2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)

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In this paper a highly performant modular and fully adaptable real-time signal processing platform is introduced, which can be used to control all kinds of applications in the field of power electronics and electrical drive control, such as Hardware-in-the-Loop (HIL) systems, Power Hardware-in-the-Loop (PHIL) systems and power electronic systems for grid and drive applications. The proposed system was fully developed and built in the ETI, enabling full access to even the last register inside the FPGA and the whole software architecture. Another benefit of the in-house production is, that the costs are very low compared to proprietary system on the market and hence every researcher in the ETI has access to it. With this highperformance real-time signal processing platform, it is possible to push high performance research topics in the field of power electronics and electrical drive control forward.

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Section: Discussionmentioning

confidence: 99%

Section: B Motor Testbenchmentioning

confidence: 99%

A modular signal processing platform for grid and motor control, HIL and PHIL applications

Schmitz-Rode

Stefanski

Schwendemann

et al. 2022

2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)

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“…In The data preprocessing and the anomaly detection have been introduced in our previous publication [2]. Therefore, these aspects will not be described further in this current publication.…”

Section: Proposed Approachmentioning

confidence: 99%

“…The state space representation is described by the first order state differential equation (1) and by the output equation (2).…”

Section: A Converter Modelmentioning

confidence: 99%

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Condition Monitoring of Power Electronic Systems Through Data Analysis of Measurement Signals and Control Output Variables

Yüce

Hiller

2022

IEEE J. Emerg. Sel. Topics Power Electron.

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A major disadvantage of existing condition monitoring methods is the need for additional sensors and measuring equipment. In this work, this disadvantage is eliminated by completely avoiding additional hardware. Instead, software-based methods from the field of machine learning are used. Therefore, measurement signals and control output variables are utilized which are acquired and processed in any power electronic system for the purpose of converter control. The publication focuses on two main converter components: power semiconductors and DC link capacitor. For each component, the aging mechanisms that have been studied in the literature are explained. Based on the aging mechanisms, the degradation indicators are identified. Then, a converter model is built that allows the variation of degradation indicators in order to analyze their effects on the available data set. These findings form the basis for mathematical models, which detect future failure mechanisms of this type during converter operation. The test setup must offer the possibility of generating reproducible failure cases in various components with the aid of additional failure equipment. Finally, failure mechanisms are intentionally introduced at the test bench in order to validate the methodology of the developed approach.

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An Online Monitoring Method for Bond Wire Fatigue in IGBT Module

Liu,

Wang,

Zhang

et al. 2024

IEEE J. Electron Devices Soc.

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IGBT modules are core components of power electronic converters, and their reliability has gained significant attention. Among various reliability concerns, bond wire fatigue is a prominent issue. Bond wire fatigue can alter the electrical characteristics of IGBT modules, affecting the turn-off process of the IGBT. Consequently, it leads to changes in the collectoremitter voltage spike and the auxiliary emitter-emitter voltage spike during the turn-off process. The paper proposes the utilization of the K factor parameter which is not affected by the collector current and junction temperature, based on the collector-emitter voltage spike and the auxiliary emitter-emitter voltage spike, for bond wire fatigue monitoring of IGBT modules. Additionally, the monitoring of bond wire fatigue and junction temperature of IGBT modules was achieved based on the K factor parameter and the auxiliary emitter-emitter voltage spike. This provides a basis for the reliability assessment of IGBT modules.

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Investigation of Bond Wire Lift-Off by Analyzing the Controller Output Voltage Harmonics for the Purpose of Condition Monitoring

Cited by 5 publications

References 5 publications

A modular signal processing platform for grid and motor control, HIL and PHIL applications

A modular signal processing platform for grid and motor control, HIL and PHIL applications

Condition Monitoring of Power Electronic Systems Through Data Analysis of Measurement Signals and Control Output Variables

An Online Monitoring Method for Bond Wire Fatigue in IGBT Module

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