A PC-based vibration analyzer for condition monitoring of process machinery

Ansari, S.A.; Baig, R.

doi:10.1109/19.744177

Cited by 21 publications

(3 citation statements)

References 2 publications

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“…3) Vibrational Amplitude: This calibration essentially relates the displacement of the vibrating object to the distance the PMD curves traverse on the Poincaré sphere [both are related through the RF signal's wavelength per (10)]. In this model, the amplitude of the tuning fork's vibration, A t f , in (9), has been adjusted such that the simulation data match the experimental data (A t f = 0.2 mm).…”

Section: B Calibration To Experimental Datamentioning

confidence: 98%

“…85-87], ultimately leading to their failures. In addition, the application of vibration-based monitoring is becoming increasingly popular in the practice of conditionbased maintenance [3], [4] and machine health monitoring [5] as a method of optimizing maintenance strategies in many industries [6]- [10]. Furthermore, the human body is sensitive to physical vibrations [11] and to the acoustic noises that vibrations often generate [12, pp.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility Study on a Noncontact Remote-Sensing Vibration Transducer Using RF Polarimetry

Mueller

Pratt

2013

IEEE Trans. Instrum. Meas.

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This paper presents a novel, noncontact vibration transducer system using radio frequency (RF) polarimetry, which allows for vibration measurements to be collected remotely and nonintrusively at a distance. Movement or vibration of an object within the RF propagation channel can alter the combined direct, reflected, and multipath RF signals, thereby changing the received signal's polarization. This paper presents the theory to analyze a RF signal's polarization for used as a vibration transducer. The proposed transducer leverages the entire bandwidth of the RF signal using the frequencydependent polarization mode dispersion phenomenon that occurs in multipath channels. To analyze the approach, a software model has been constructed and used to simulate and characterize the transducer's performance. A feasibility comparison of this RF polarimetry technique to similar vibration transducers, including laser Doppler vibrometry, shows this new transducer to be easier and less expensive to implement without significant tradeoffs in performance. Finally, laboratory experiments verify the software model and demonstrate a real-world prototype implementation. The pure-tone vibration of tuning forks, the forced and free vibrations of a ringing telephone, and the rotational motion of a desktop fan have been measured and are presented as an evidence of this RF polarimetry transducer's diverse capabilities in vibrometry.

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Section: B Calibration To Experimental Datamentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Feasibility Study on a Noncontact Remote-Sensing Vibration Transducer Using RF Polarimetry

Mueller

Pratt

2013

IEEE Trans. Instrum. Meas.

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“…The traditional signal processing involves transforming the measured vibration time-domain signal by fast Fourier transform (FFT) into frequency domain feature values, a process also known as Frequency Spectrum Analysis [3]. However, the shaft rotational speed of industrial fans changes with factory production conditions, loading demands, and many external environmental factors.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Acoustic Sensing System for Online Early Fault Detection in Industrial Fans

et al. 2018

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Industrial fans play a critical role in manufacturing facilities, and a sudden shutdown of critical fans can cause significant disruptions. Ensuring early, effective, and accurate detection of fan malfunctions first requires confirming the characteristics of anomalies resulting from initial damage to rotating machinery. In addition, sensing and detection must rely on the use of sensors and sensing characteristics appropriate to various operational abnormalities. This research proposes an online industrial fan monitoring and fault detection technique based on acoustic signals as a physical sensing index. The proposed system detects and assesses anomalies resulting from preliminary damage to rotating machinery, along with improved sensing resolution bandwidth features for microphone sensors as compared to accelerometer sensors. The resulting Intelligent Prediction Integration System with Internet (IPII) is built to analyze rotation performance and predict malfunctions in industrial fans. The system uses an NI cRIO-9065 embedded controller and a real-time signal sensing module. The kernel algorithm is based on an acoustic signal enhancement filter (ASEF) as well as an adaptive Kalman filter (AKF). The proposed scheme uses acoustic signals with adaptive order-tracking technology to perform algorithm analysis and anomaly detection. Experimental results showed that the acoustic signal and adaptive order analysis method could effectively perform real-time early fault detection and prediction in industrial fans.

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Application of Wavelets to Vibration Detection in an Aeroelastic System

Akujuobi

2022

Wavelets and Wavelet Transform Systems and Their Applications

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A PC-based vibration analyzer for condition monitoring of process machinery

Cited by 21 publications

References 2 publications

Feasibility Study on a Noncontact Remote-Sensing Vibration Transducer Using RF Polarimetry

Feasibility Study on a Noncontact Remote-Sensing Vibration Transducer Using RF Polarimetry

Design and Implementation of Acoustic Sensing System for Online Early Fault Detection in Industrial Fans

Application of Wavelets to Vibration Detection in an Aeroelastic System

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