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In this letter, a hybrid modulation concept consisting of three-level space vector modulation (3L-SVM) and phase-shifted pulse width modulation (PS-PWM) is proposed for five-level active-neutral-point-clamped (5L-ANPC) converter. Under this concept, a simpler 3L-SVM plus PS-PWM scheme is applied to realize 5L modulation, instead of using complex 5L-SVM. The control of neutral voltage, flying capacitor...
On account of the substation is a basis and important element of the power system, its maintenance plays a pivotal role in the stable operation of power grid. As the maintainer of the substation, the on-site staffs work long-term in strong electromagnetic field environment. Therefore, it is necessary to wear the working clothes strictly. In order to strengthen the working clothes wearing circumstance...
Safety helmet wearing detection is very essential in power substation. This paper proposed a innovative and practical safety helmet wearing detection method based on image processing and machine learning. At first, the ViBe background modelling algorithm is exploited to detect motion object under a view of fix surveillant camera in power substation. After obtaining the motion region of interest, the...
Automatic fire flame detection is important for intelligent video surveillance. The background model and various color features are usually adopted for flame detection. In this paper, a fire flame detection method is developed by combining both background subtraction and region covariance. The color distribution method and background model with an adaptive background learning model are used to preprocess...
The purpose of the study is to ascertain the key feature subsets of hepatitis b virus (HBV) reactivation and establish classification prognosis models of HBV reactivation for primary liver carcinoma (PLC) patients after precise radiotherapy (RT). Genetic Algorithm (GA) is proposed to extract the key feature subsets of HBV reactivation from the initial feature sets of primary liver carcinoma. Bayes...
Accurate estimation of the remaining useful life of lithium-ion batteries plays an important role in the prognostic and health management (PHM). The traditional empirical data-driven approaches for RUL prediction usually need multidimensional input physical characteristics including the current, voltage, usage duration, battery temperature, and ambient temperature. From the capacity fading analysis...
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