S-Transform Based Novel Indices for Power Quality Disturbances

He, Zhengyou; Jia, Yong Tian

doi:10.5772/17699

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…S-transform (ST) is proposed to carry out the solution which experienced by STFT and WT [15,16]. ST is superior signal processing tool, where its technique is improved and outcome the limitation that exist in STFT and WT.…”

Section: Introductionmentioning

confidence: 99%

LabVIEW as Power Disturbances Classification Tools

Abidin¹,

Yusoh²

2021

LabVIEW - A Flexible Environment for Modeling and Daily Laboratory Use

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Power disturbances monitoring is one of the important aspects on dealing power quality issue in electrical system. The aims of conducting monitoring process are to identify the real culprit which contribute to the Power Quality (PQ) problem. One of the vital steps during monitoring process is the classifying various type of power disturbance. This classification process is very important to give a right direction towards proposing the correct mitigation technique. In order to produce reliable classification technique, the devices which has a flexibility on accommodating the software and hardware part need to be deployed. The software is need for algorithm development such as signal processing, Artificial Intelligent (AI) as well as statistical analysis. On the hardware part, the device’s ability to acquire the electrical parameter within the electrical system operation is very important. The data acquisition based on the voltage and current is essential to be feed in the classification algorithm in software side. On the other hand, the interfacing devices and data acquisition module need to be developed at the hardware side, LabVIEW manage to accommodate both software and hardware need and further development of the LabVIEW for this purpose will be elaborated in this chapter.

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Section: Introductionmentioning

confidence: 99%