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nvlinhvn committed May 10, 2024
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15 changes: 10 additions & 5 deletions HSTransform.egg-info/PKG-INFO
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Metadata-Version: 2.1
Name: HSTransform
Version: 0.2.1
Version: 0.1.5
Summary: A Package to Compute S-transform with Hyperbolic Window
Home-page: https://github.com/nvlinhvn/HSTransform
Author: Linh V Nguyen
Author-email: linhvietnguyen.ee@gmail.com
License: MIT
Expand Down Expand Up @@ -79,20 +80,24 @@ S_transformed = hs.fit_transform(t, signal)

### 5.1 Power Quality Disturbance

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance.png)
![Voltage Disturbance](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance.png)

The figure showed HS-transform is able to detect the transient disturbances like notch, spike. Meanwhile, those signals from Morlet Wavelet transform are not obviously recognized.

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance_trajectory.png)
######

![Real-Imag Trajectory](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance_trajectory.png)
We can see also different types of voltage disturbance can generate different real-imaginary trajectory in S-transform at different frequencies.

### 5.2 Power System Faults

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_current.png)
![Different Faults](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_current.png)

As can be seen, both Wavelet and S-transform are able to detect when the fault occur (huge change in current magnitude). Wavelet transform seems more sensitive with noise with high distortion compared with HS-transform.

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_trajectory.png)
######

![Real-Imag Trajectory](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_trajectory.png)

We can also observe different types of faults can generate different real-imaginary trajectory in S-transform at varying levels of frequencies.

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12 changes: 8 additions & 4 deletions README.md
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Expand Up @@ -66,20 +66,24 @@ S_transformed = hs.fit_transform(t, signal)

### 5.1 Power Quality Disturbance

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance.png)
![Voltage Disturbance](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance.png)

The figure showed HS-transform is able to detect the transient disturbances like notch, spike. Meanwhile, those signals from Morlet Wavelet transform are not obviously recognized.

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance_trajectory.png)
######

![Real-Imag Trajectory](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/power_quality_disturbance_trajectory.png)
We can see also different types of voltage disturbance can generate different real-imaginary trajectory in S-transform at different frequencies.

### 5.2 Power System Faults

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_current.png)
![Different Faults](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_current.png)

As can be seen, both Wavelet and S-transform are able to detect when the fault occur (huge change in current magnitude). Wavelet transform seems more sensitive with noise with high distortion compared with HS-transform.

![](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_trajectory.png)
######

![Real-Imag Trajectory](https://raw.githubusercontent.com/nvlinhvn/HSTransform/main/img/fault_trajectory.png)

We can also observe different types of faults can generate different real-imaginary trajectory in S-transform at varying levels of frequencies.

Expand Down
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3 changes: 2 additions & 1 deletion setup.py
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Expand Up @@ -13,7 +13,8 @@

setup(
name='HSTransform',
version='0.2.1',
version='0.1.5',
url='https://github.com/nvlinhvn/HSTransform',
packages=find_packages(),
license='MIT',
author='Linh V Nguyen',
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