Gearbox Fault Diagnosis Based on Vibration Signals Measured Remotely

Al-Arbi, Salem; Gu, Fengshou; Guan, Lu; Ball, Andrew; Naid, Abdelhamid

doi:10.4028/www.scientific.net/kem.413-414.175

Cited by 6 publications

(4 citation statements)

References 3 publications

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“…Castellani in 2020 [58] studied the solution to measure vibrations at the tower instead of at the gearbox in a wind turbine and achieved positive outcomes in the bearing diagnostics without impacting the wind turbine operation. Al-Arbi in 2009 [57] treated the distortions suppression for the remote measurements issue and it emerged that the results of the different signal processing techniques were highly influenced by the signal attenuation and interference. Among the tested SP methods, time synchronous average (TSA) proved to be less sensitive to the problem.…”

Section: Multiple Sourcesmentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out the main phases (signal measurements, pre-processing and processing, feature selection, and fault diagnosis) of a malfunction automatic diagnosis. In addition, vibration-based condition monitoring has been applied to a number of different mechanical systems or components. In this review, a systematic study of the works related to the topic was carried out. A preliminary phase involved the analysis of the publication distribution, to understand what was the interest in studying the application of the method to the various rotating machineries, to identify the interest in the investigation of the main phases of the diagnostic process, and to identify the techniques mainly used for each single phase of the process. Subsequently, the different techniques of signal processing, feature selection, and diagnosis are analyzed in detail, highlighting their effectiveness as a function of the investigated aspects and of the results obtained in the various studies. The most significant research trends, as well as the main innovations related to the various phases of vibration-based condition monitoring, emerge from the review, and the conclusions provide hints for future ideas.

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Section: Multiple Sourcesmentioning

confidence: 99%

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

et al. 2022

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“…齿轮传动是各种机器设备中应用最广泛的动力和运动传递装置，其动力性能对整个机器有重要影响，所以对齿轮故障进行准确监测具有重要意义 [1] 。当前，基于振动的监测是这类机器的主流监测手段。但是这种方法故障报警率高、设备成本也较高且传感器安装不便。为了克服振动监测的这些弊端，很多研究者将电机电流信号分析作为机械故障诊断的方法，这种方法不仅成本较低而且可以实现远距离监测，更为有利的是信号中除了包含正常运转的信息外，还包含了运行工况信息，因此可以建立精确可靠的变负荷模型进行状态监测 [2] 。然而，故障信号通常非常小，并被大量的 50Hz 的供应电源信号和随机噪声信号所掩盖，所以需要应用有效的信号处理方法来提取小信号。2000 年 Benbozide 应用电机电信号监测了电机自身的故障 [3] 。2007 年 Nagi 等人沿伸了电机电流信号分析的应用，运用传统双谱分析对电机电流信号进行了分析并证明了电流信号可用来检测多级变速箱的齿轮不同破损情况 [4] 。2011 年郑州大学李凌均提出了矢双谱分析方法，通过采集安装在齿轮箱上的传感器采集的数据，应用双谱分析方法提取信号特征信息，实现了对齿轮箱的智能故障诊断 [5] 。 [7] ： ) 2 cos( 2 …”

Section: ．前言unclassified

Gear Transmission Fault Diagnosis Based on the Bispectrum Analysis of Induction Motor Current Signatures

Chen

Wang

Gu³

et al. 2012

JME

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Abstract：Motor current signal analysis has been an effective way for many years to monitor electrical machines.However, little research work has been reported in using this technique for monitoring their downstream equipment due to difficulties in extracting weak fault signals in a noisy measured current signal. This paper investigates the characteristics of electrical current signals measured from an induction motor for monitoring faults from a downstream gear transmission system by a novel modulation signal (MS) bispectrum method. Both analytic analysis and experimental study are conducted based on a motor drive system and have found that the increase of bispectral peaks can be the basis of mechanical fault diagnosis. Particularly, a fault on a gear will causes a larger increase of the bispectral peak at both the gear shaft frequency and accompany with a smaller increase in the relating shaft frequency. However, a shaft misalignment only leads to a bispectrum peak increase at the shaft bifrequency along.

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“…It has been shown that wavelet reconstruction improves fault classification when used in fault diagnostics. Al-Arbi et al [9] The attenuation and interference have a significant negative impact on the gear transmission signals, according to the study of data from many signals processing approaches. However, the time synchronous average (TSA) efficiently detects local gear system failures.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of a test rig for gearbox fault simulation and diagnosis

Dubaish¹,

Jaber²

2023

Diagnostyka

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Gearboxes are one of the most important and widely exposed to different types of faults in machines. Therefore, manufacturers and researchers have made significant efforts to develop different fault detection and diagnostic approaches for gearboxes. However, many research foundations, such as universities, are currently working on developing different gearbox test rigs to understand the failure mechanisms in gearboxes. As a result, in this article, a gearbox testing rig was proposed and fabricated to evaluate gear performance under lowspeed working conditions. It describes the primary mechanical apparatus and the measurement tools used during the experimental analysis of a multistage gearbox transmission system. The data-gathering equipment used to acquire the observed vibration data is also discussed. LabVIEW software was used to build a data acquisition platform using an accelerometer and a NI DAQ device. Then different vibration tests were conducted under different operating conditions, when the gearbox was healthy and then faulty, on this test rig, and the gathered vibration data were analyzed based on time domain signal analysis. The preliminary results are promising and open the horizon for simulating different gearbox test scenarios.

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Gearbox Fault Diagnosis Based on Vibration Signals Measured Remotely

Cited by 6 publications

References 3 publications

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

A Review on Vibration-Based Condition Monitoring of Rotating Machinery

Gear Transmission Fault Diagnosis Based on the Bispectrum Analysis of Induction Motor Current Signatures

Fabrication of a test rig for gearbox fault simulation and diagnosis

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