Introduction

Gupta, Deepak; Albuquerque, Victor Hugo C. de; Khanna, Ashish K.; Mehta, Purnima Lala

doi:10.1007/978-3-030-52624-5_1

Cited by 1 publication

(3 citation statements)

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“…A smart sensor node is a system that integrates the sensing units and signal conditioning functions (e.g., power supplies, amplification, adjustment, filtering, etc.) for data collection [ 3 ]. The related functions are controlled by a microcontroller unit (MCU) through a communications interface [ 4 , 5 ].…”

Section: Development Of Smart Sensor-based Daq Systemmentioning

confidence: 99%

“…An alternative is to use smart sensor-based DAQ systems. A smart sensor integrates a sensing unit, pre-processing functionality, and wireless communication in one chip, controlled by a microcontroller unit (MCU) [ 3 ]. Although there are some smart vibration sensors available on the market [ 3 , 4 , 5 ], they cannot meet the comprehensive requirements of measurement range, frequency bandwidth and sensitivity, used in this monitoring application.…”

Section: Introductionmentioning

confidence: 99%

“…A smart sensor integrates a sensing unit, pre-processing functionality, and wireless communication in one chip, controlled by a microcontroller unit (MCU) [ 3 ]. Although there are some smart vibration sensors available on the market [ 3 , 4 , 5 ], they cannot meet the comprehensive requirements of measurement range, frequency bandwidth and sensitivity, used in this monitoring application. Subsequently, the first objective of this work is to develop a new smart sensor-based DAQ system to collect vibration signals wirelessly.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smart Sensor-Based Monitoring Technology for Machinery Fault Detection

Zhang,

Xing,

Wang

2024

Sensors

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Rotary machines commonly use rolling element bearings to support rotation of the shafts. Most machine performance imperfections are related to bearing defects. Thus, reliable bearing condition monitoring systems are critically needed in industries to provide early warning of bearing fault so as to prevent machine performance degradation and reduce maintenance costs. The objective of this paper is to develop a smart monitoring system for real-time bearing fault detection and diagnostics. Firstly, a smart sensor-based data acquisition (DAQ) system is developed for wireless vibration signal collection. Secondly, a modified variational mode decomposition (MVMD) technique is proposed for nonstationary signal analysis and bearing fault detection. The proposed MVMD technique has several processing steps: (1) the signal is decomposed into a series of intrinsic mode functions (IMFs); (2) a correlation kurtosis method is suggested to choose the most representative IMFs and construct the analytical signal; (3) envelope spectrum analysis is performed to identify the representative features and to predict bearing fault. The effectiveness of the developed smart sensor DAQ system and the proposed MVMD technique is examined by systematic experimental tests.

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Section: Development Of Smart Sensor-based Daq Systemmentioning

confidence: 99%