Raw and normalized vibration signals of blades with different cracked zones in rotating bladed system

Description

The dataset includes raw and normalized vibration signals acquired directly at the root of each of the three blades of a rotating equipment with blades operating at 240 rpm. The blades have different health conditions; the cases considered are uncracked blades and cracked blades in one of three cross-sectional areas: root, middle, or tip. There are 10 experimental cases, with 7680 files each. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel. The normalization was performed using the absolute maximum (Max Absolute) Scaling Method. The technique was implemented in Python using the scikit-learn (version 1.4) library.

Institutions

• Universidad Politécnica de Chiapas

  Chiapas, Tuxtla Gutiérrez

Categories

Funders

• Secretaría de Ciencia, Humanidades, Tecnología e Innovación

  Mexico City

  Grant ID: CF-2023-I-2533

Licence