Skip to main content

Single-Shot-Power-Quality-Disturbance-Detector

Project description

Single-Shot-Power-Quality-Disturbance-Detector (SSPQDD) is a Python package that provides a comprehensive solution for detection and classification of power quality disturbances. It utilizes state-of-the-art deep learning algorithms to analyze power signals and identify various types of disturbances, such as voltagesags, swells, harmonics, transients, notch and interruptions. The SSPQDD is designed to empower engineers and researchers working in the field of power quality analysis. By leveraging deep learning techniques, it offers an efficient and accurate approach to automatically detect and classify power disturbances, saving time and effort compared to manual inspection. With the SSPQDD, users can gain valuable insights into power quality issues and make informed decisions for optimal system performance and reliability.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sspqdd-1.0.27.tar.gz (23.5 MB view details)

Uploaded Source

File details

Details for the file sspqdd-1.0.27.tar.gz.

File metadata

  • Download URL: sspqdd-1.0.27.tar.gz
  • Upload date:
  • Size: 23.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for sspqdd-1.0.27.tar.gz
Algorithm Hash digest
SHA256 c64caf4d5ac2d4e60fd863cd21471e190d869dac014f4d95953f5d546935fbfc
MD5 36c78e9839fd5692f37099c390ebd35d
BLAKE2b-256 e5d0fee0c7fdd6f943b688fb208059378dbe14b126e9da4d6fd8f89ebdb0f072

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page