Dispositivo de bajo costo para el diagnóstico de fallos en rodamientos basado en la transformada de Hilbert-Huang

Abstract

In order to monitor the condition of machinery complex

industrial environments, high-cost equipment is required

for signal acquisition and processing. However, low-cost

sensor nodes with high processing capability are a potential

solution to improve diagnostic systems. This paper presents

a low-cost device for fault diagnosis based on the vibration

response in rotating machines with the implementation of the

Hilbert-Huang transform (HHT) analysis to extract the main

characteristics of the signal. HHT, used to analyze non-linear

and non-stationary signals, incorporates an Empirical Mode

Decomposition (EMD) process.

Processing is carried out in an embedded system to acquire

vibration response data and extract signal characteristics that

allow condition monitoring. As a result of local processing in

the vibratory measurement device in an embedded system, it is

achieved to decompose the signal in order to the characteristic

failure in the bearing and transmit the alarm to a hub. This

eliminates the need for a central diagnostic system and reduces

the total cost of the system.