Fault Diagnosis for Planetary Gearbox Using On-Rotor MEMS Sensor and EMD Analysis

Mones, Zainab; Alqatawneh, Ibrahim; Zhen, Dong; Gu, Fengshou; Ball, Andrew

doi:10.23919/iconac.2019.8895155

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Moreover, other studies use MEMs technology directly in rotors to record stable and transitory regimes in presence of an unbalance and in a speed range between 200 and 2000 rpm [11]. The MEMs technology is also used in the monitoring of gears to detect defects and unbalance [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

On-shaft ball bearings monitoring by using an inertial measurement unit (IMU): defects severity signatures under stationary and non-stationary conditions

Chiementin,

Chevallier,

Leroux

2024

Meas. Sci. Technol.

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Micro-Electro-Mechanical Systems (MEMS) technology is widely used in many applications relative to automotive, aerospace, medicine, telecommunication or consumer electronic. Those devices are able to access to several physical parameters such as pressure, temperature, acceleration and vibrations, in real time and with a great precision. The present work focuses on the using of an inertial measurement unit (IMU) in order to monitor the signatures of defects in ball bearings under stationary and non-stationary regimes.For both of these regimes, the present paper completes the current literature by (i) investigating the influence of IMU parameters on signals derived from the six axes and by (ii) proposing signal processing methodologies to detect defects in outer and inner rings.Defects are both declined on the inner and the outer ring according five severities, and are studied according six rotation speeds (5rpm to 400rpm) and five radial loads (100kg to 500kg). Data are recorded in stationary and no-stationary (linear acceleration) regimes. Results are conclusive and open ways for the improvement of inertial units and their application field.

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Section: Introductionmentioning

confidence: 99%

On-shaft ball bearings monitoring by using an inertial measurement unit (IMU): defects severity signatures under stationary and non-stationary conditions

Chiementin,

Chevallier,

Leroux

2024

Meas. Sci. Technol.

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“…Xu et al (2022) investigated mobile device's potential for bearing fault diagnosis, employing quasi-tachometer signal analysis and order tracking to identify characteristic harmonic peaks, proving effectiveness under variable speeds. Mones et al (2023) stressed early planetary gearbox fault detection for machine safety. It uses MEMS accelerometers on shafts, using envelope analysis for fault frequency recognition, and showcasing cost-effective, reliable fault identification.…”

Section: Introductionmentioning

confidence: 99%

Exploring the potential of smartphone MEMS sensors for cost-effective rotating machinery speed estimation

Goel,

Naikan

2024

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Purpose The purpose of this study is to explore the use of smartphone-embedded microelectro-mechanical sensors (MEMS) for accurately estimating rotating machinery speed, crucial for various condition monitoring tasks. Rotating machinery (RM) serves a crucial role in diverse applications, necessitating accurate speed estimation essential for condition monitoring (CM) tasks such as vibration analysis, efficiency evaluation and predictive assessment. Design/methodology/approach This research explores the utilization of MEMS embedded in smartphones to economically estimate RM speed. A series of experiments were conducted across three test setups, comparing smartphone-based speed estimation to traditional methods. Rigorous testing spanned various dimensions, including scenarios of limited data availability, diverse speed applications and different smartphone placements on RM surfaces. Findings The methodology demonstrated exceptional performance across low and high-speed contexts. Smartphones-MEMS accurately estimated speed regardless of their placement on surfaces like metal and fiber, presenting promising outcomes with a mere 6 RPM maximum error. Statistical analysis, using a two-sample t-test, compared smartphone-derived speed outcomes with those from a tachometer and high-quality (HQ) data acquisition system. Research limitations/implications The research limitations include the need for further investigation into smartphone sensor calibration and accuracy in extremely high-speed scenarios. Future research could focus on refining these aspects. Social implications The societal impact is substantial, offering cost-effective CM across various industries and encouraging further exploration of MEMS-based vibration monitoring. Originality/value This research showcases an innovative approach using smartphone-embedded MEMS for RM speed estimation. The study’s multidimensional testing highlights its originality in addressing scenarios with limited data and varied speed applications.

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EMD Noise Reduction Method of MEMS Gyroscope Based on Chi-Square Detection

Liu¹,

Liu²,

Jiayun³

et al. 2023

Lecture Notes in Electrical Engineering

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Fault Diagnosis for Planetary Gearbox Using On-Rotor MEMS Sensor and EMD Analysis

Cited by 3 publications

References 9 publications

On-shaft ball bearings monitoring by using an inertial measurement unit (IMU): defects severity signatures under stationary and non-stationary conditions

On-shaft ball bearings monitoring by using an inertial measurement unit (IMU): defects severity signatures under stationary and non-stationary conditions

Exploring the potential of smartphone MEMS sensors for cost-effective rotating machinery speed estimation

EMD Noise Reduction Method of MEMS Gyroscope Based on Chi-Square Detection

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