Skip to main navigation Skip to search Skip to main content

IDENTIFICATION AND EVALUATION OF THE CHARACTERISTICS OF A SELECTED COMMERCIAL MEMS BASED VIBRATION SENSOR FOR THE MACHINE CONDITION MONITORING

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

With the emergence of the Industry 4.0 concept, machine vibration monitoring and diagnostics systems based on the so-called smart vibration sensors using MEMS accelerometers become very popular on the market. Many automation companies use specifically designed for CbM industrial vibration sensors based on electronic chips with enclosed MEMS accelerometers. However, in the commercial vibration sensors datasheets very often are not provided detailed metrological parameters like frequency response in the declared frequency band. The article presents the results of research concerned to identification of frequency response of an exemplary available on market digital accelerometer dedicated to machines condition monitoring. The determined characteristics indicate that the sensor can be used for basic diagnostics of machines in accordance to the series of vibration standards ISO 10816 and ISO 20816. On the basis of the determined characteristics, it can be concluded that there are some non-linarites of the frequency response functions at the boundaries of the declared measurement band. It shows that application of that sensor to precise measurements conducted during scientific research could be limited.

Original languageEnglish
Article number2023404
JournalDiagnostyka
Volume24
Issue number4
DOIs
Publication statusPublished - 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • CbM
  • MEMS accelerometers
  • digital accelerometers
  • machine diagnostics
  • vibration measurements

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Safety, Risk, Reliability and Quality
  • Mechanical Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'IDENTIFICATION AND EVALUATION OF THE CHARACTERISTICS OF A SELECTED COMMERCIAL MEMS BASED VIBRATION SENSOR FOR THE MACHINE CONDITION MONITORING'. Together they form a unique fingerprint.

Cite this