Design of an automated vibration monitoring system for condition based maintenance of a lathe machine (Case study)

Chikuruwo, M. N. H.; Maregedze, Laurence; Garikayi, Talon

doi:10.1109/icsrs.2016.7815838

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Egyes állapotfelügyeleti eljárások a szerszámgépet ellenőrzik (MCM -Machine Condition Monitoring), míg vannak amelyek közvetlenül a szerszámra vigyáznak. Az előbbiek főleg az állapotfüggő karbantartásra (PdM -Predictive Maintenance) helyezik a hangsúlyt [9], [10], [11], [12], olyan adatokat szolgáltatva, amelyek jól kiegészíthetik a kockázat alapú karbantartási stratégiát (RBM -Risk Based Maintenance) (komoly gazdasági előnyt kínálva ezzel az alkalmazók számára). A másik csoportba tartozó technikák a szerszám termelékenység szempontjából történő optimalizálására, vagyis a minőségi termelésben eltöltött hasznos munkaidejük maximalizálására koncentrál azáltal, hogy a szerszám állapotát vizsgálja [13], [14], [15].…”

Section: Bevezetésunclassified

Lézeres mérések alkalmazása forgácsoláskor. Monitoring és a lézeres érzékelők

Béres

2020

MDT

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A cikk célja, hogy néhány példán keresztül felvázolja azokat a lehetőségeket, amelyeket a lézeres mérések kínálnak fúrás, marás és esztergálás vizsgálatára. Olyan munka eddig nem jelent meg, amely a klasszikus forgácsolási technikák esetén külön-külön igyekszik összefoglalni az egyes hagyományos forgácsolásleválasztási technológiákra vonatkozó méréseket. Nem titkolt célja, hogy a lézeres méréstechnika előnyeit és hátrányait is bemutassa, figyelembe véve a mérési körülményeket is. Mindezeket a forgácsolás felügyeletben való alkalmazáshatóságának szem előtt tartásával kívánja bemutatni.

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Section: Bevezetésunclassified

Lézeres mérések alkalmazása forgácsoláskor. Monitoring és a lézeres érzékelők

Béres

2020

MDT

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“…(6,7) Hence, considerable research has been conducted to develop monitoring devices with IoT-based systems in machine tools. (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) Kuntoğlu et al reviewed an indirect tool condition monitoring system. They noted that installing multiple sensors during the development of the tool condition monitoring system can make the system prediction more accurate and sensitive.…”

Section: Introductionmentioning

confidence: 99%

Development of Low-cost Wireless Monitoring System and Its Implementation on Computer Numerical Control Machine Tool

Royandi,

Effendi,

Komara

et al. 2024

Sensors and Materials

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We propose a low-cost wireless monitoring system and describe its initial deployment on a computer numerical control (CNC) machine tool as a data acquisition (DAQ) and collection device. It employs a piezoelectric sensor that can detect and analyze signals corresponding to the deflection of the tool holder and reaction force of the cutting process. The sensor readings are acquired wirelessly to prevent interference with the cutting chip. The wireless system was constructed with commonly accessible hardware, such as the Arduino Due and nRF24L01 wireless module. A Windows Forms application can then use a serial communication interface to process and collect data. In addition, the program includes a data storage system, data processing that displays signal properties (maximum and minimum amplitudes, root mean square, and frequency), data visualization that displays data in the time and frequency domains, and an alert function through the mobile application WhatsApp. The low-cost monitoring system, with an estimated hardware cost of approximately USD 225, can achieve a sample rate of approximately 350 samples/s. The feasibility was evaluated by a comparative study. Final validation tests in the machining process demonstrated that the monitoring system exhibited good agreement with an existing DAQ device and sensor, with a maximum root-mean-square error (RMSE) of approximately 2.16% of the measured vibration features.Iman Apriana Effendi currently is a lecturer at the Manufacturing Design Engineering Department of Politeknik Manufaktur Bandung, West Java, Indonesia. His research interests include machine tool design, intelligent machining and manufacturing, and robotics design.

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“…Perhaps the greatest challenge for conventional vibrational surveillance of assets is the inherent "seesaw" effect between the sensitivity for catching incipient degradation mechanisms and their false alarms. This is a consequence of placing thresholds limits on the power spectral density (PSD) peak amplitude [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Vibration Resonance Spectrometry (VRS) for the Advanced Streaming Detection of Rotor Unbalance

et al. 2023

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Determination of the diagnosis thresholds is crucial for the fault diagnosis of industry assets. Rotor machines under different working conditions are especially challenging because of the dynamic torque and speed. In this paper, an advanced machine learning based signal-processing innovation termed the multivariate state estimation technique is proposed to improve the accuracy of the diagnosis thresholds. A novel preprocessing technique called vibration resonance spectrometry is also applied to achieve a low computation cost capability for real-time condition monitoring. The monitoring system that utilizes the above methods is then applied for prognostics of a fan model as an example. Different levels of radial unbalance were added on the fan and tested, and then compared with the health state. The results show that the proposed methodology can detect the unbalance with a good accuracy and low computation cost. The proposed methodology can be applied for complex engineering assets for better predictive monitoring that could be processed with on-premise edge devices, or eventually a cloud platform due to its capacity for loss-less dimension reduction.

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Design of an automated vibration monitoring system for condition based maintenance of a lathe machine (Case study)

Cited by 6 publications

References 2 publications

Lézeres mérések alkalmazása forgácsoláskor. Monitoring és a lézeres érzékelők

Lézeres mérések alkalmazása forgácsoláskor. Monitoring és a lézeres érzékelők

Development of Low-cost Wireless Monitoring System and Its Implementation on Computer Numerical Control Machine Tool

Vibration Resonance Spectrometry (VRS) for the Advanced Streaming Detection of Rotor Unbalance

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