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Multiple linear regression-based impact analysis of impedance network design on life expectancy of DC-link capacitor in q-ZSI fed motor drive
Engineering Science and Technology, an International Journal ( IF 5.1 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.jestch.2020.06.004
Heema Bharatkumar Dave , Dheerendra Singh , Hari Om Bansal

Abstract Most literature works carrying out capacitor remaining useful life (RUL) prognosis in a three-phase inverter fed Adjustable Speed Drive (ASD) system focus on analyzing the effect of different environmental and operating conditions. But it is the effect of inverter design parameters on capacitor RUL that is of greater interest to the inverter topology designers. This paper performs a parametric investigation on the impact of two design parameters primarily impedance (Z) network inductance ( L Z ) , and shoot through duty ratio ( D sh ) on capacitor RUL in a quasi-Z-source inverter (q-ZSI) fed ASD system. To perform this analysis, the online condition monitoring (OCM) of a capacitor placed in the Z network of q-ZSI topology is carried out, and its RUL is predicted for varying values of L Z and D sh . The technique/procedure to monitor the operation of the system under study and collect its data for preventive maintenance without interrupting its operation is known as Online Condition Monitoring (OCM). The online method suggested in this paper uses data from the dynamic simulation (DS) model based on non-linear equations of q-ZSI. The use of the DS model increases the accuracy of OCM since it eliminates the use of data collected from sensors that are considered the cause of error in RUL prediction. A dataset of RUL predictions corresponding to multiple combinations of L Z and D sh is obtained through sensitivity analysis using Monte Carlo simulations, and the same dataset is used to derive a Multiple Linear Regression (MLR) model for RUL prediction. The sensitivity analysis data provides inferences on how the change in the selected design parameters affect the capacitor RUL in q-ZSI, and MLR model provides mathematical expression correlating L Z , D sh and capacitor lifetime, with a 95% confidence level. The significance test statistics of the MLR model prove that L Z and D sh are highly significant parameters that impact capacitor RUL in the system under study.

中文翻译:

基于多元线性回归的阻抗网络设计对 q-ZSI 馈电电机驱动中直流母线电容器预期寿命的影响分析

摘要 大多数在三相逆变器馈电可调速驱动 (ASD) 系统中进行电容器剩余使用寿命 (RUL) 预测的文献工作重点分析不同环境和运行条件的影响。但逆变器拓扑设计者更感兴趣的是逆变器设计参数对电容器 RUL 的影响。本文对两个设计参数的影响进行了参数研究,主要是阻抗 (Z) 网络电感 ( LZ ) 和直通占空比 ( D sh ) 对准 Z 源逆变器 (q-ZSI) 馈电中的电容器 RUL 的影响。自闭症系统。为了执行此分析,对放置在 q-ZSI 拓扑的 Z 网络中的电容器进行在线状态监测 (OCM),并针对 LZ 和 D sh 的变化值预测其 RUL。监视所研究系统的运行并收集其数据以进行预防性维护而不中断其运行的技术/程序称为在线状态监测 (OCM)。本文建议的在线方法使用来自基于 q-ZSI 非线性方程的动态模拟 (DS) 模型的数据。DS 模型的使用提高了 OCM 的准确性,因为它消除了使用从传感器收集的数据,这些数据被认为是 RUL 预测错误的原因。通过使用蒙特卡罗模拟的敏感性分析,得到对应于LZ和D sh 的多种组合的RUL预测数据集,并且使用相同的数据集导出用于RUL预测的多元线性回归(MLR)模型。灵敏度分析数据提供了关于所选设计参数的变化如何影响 q-ZSI 中电容器 RUL 的推断,MLR 模型提供了与 LZ、D sh 和电容器寿命相关的数学表达式,置信水平为 95%。MLR 模型的显着性检验统计量证明 LZ 和 D sh 是影响所研究系统中电容器 RUL 的非常重要的参数。
更新日期:2021-02-01
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