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Sensorless Estimation of Lifetime of High-Voltage Power Supplies

Sheikhi Azizi, Abbas | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56110 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Kaboli, Shahriyar
  7. Abstract:
  8. High voltage power supplies have a wide range of applications, and due to their high cost, it is essential to monitor their condition to predict potential failures and prevent significant losses. The most common cause of power supply failure is the wear and tear of its components. However, these components can be replaced before they wear out completely to prevent the failure of the power supply and, consequently, avoid damaging the load. Estimating the lifetime of power supplies is crucial because it allows for scheduled maintenance and helps prevent significant problems in power supplies. By estimating the lifespan of a power supply, one can anticipate when it may fail, allowing for the implementation of preventative maintenance to avoid potential failures that could cause damage to equipment or result in costly downtime. When it comes to calculating parameters of power supplies such as temperature, current, and voltage, there are two methods available: sensor less estimation and with-sensor estimation. While with-sensor estimation provides accurate measurements and immediate access to variables, there are situations where measurement or estimation of certain variables may be difficult or impossible. In these cases, sensorless estimation can be used to calculate the parameters. Moreover, physical sensors require space and are susceptible to noise and physical damage. Therefore, sensorless estimation is a promising alternative that can offer more flexibility and reliability, especially in harsh operating environments. Sensorless estimation involves using mathematical algorithms to estimate the values of variables based on other measurable variables. This method can be more flexible and less expensive than with-sensor estimation, but it may be less accurate due to the limitations of the mathematical models used. Electrolytic capacitors have a high failure rate in power electronic converters, making condition monitoring of these components critical. While this topic has been investigated in the literature, the challenges of high voltage and large filter capacitance, resulting in low voltage ripple, make it difficult or even impossible to apply previous methods. This thesis proposes a new method for estimating the lifetime of high voltage power supplies. Various techniques, including digital twin and neural networks, were explored to achieve this objective. Ultimately, a novel approach based on the converter's transient state was proposed and evaluated for accuracy through simulations and experiments. The results indicate that the proposed method can estimate ESR with an error of less than 10%.
  9. Keywords:
  10. Power Supply ; Condition Monitoring ; High Voltage Power Supply ; Capacitor Degradation ; Power Supply Lifetime

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