A Method for Diagnosing Gearboxes of Means of Transport Using Multi-Stage Filtering and Entropy

Figlus, Tomasz

doi:10.3390/e21050441

Cited by 21 publications

(13 citation statements)

References 46 publications

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“…This process leads to a gradual crack formation under the surface. It can take quite a long time before it is visible on the surface in the form of a peeled-off material, so-called pitting [1,6,7].…”

Section: Spherical Roller Bearings Durabilitymentioning

confidence: 99%

Optimisation Procedure of Inner Geometry in Spherical Roller Bearings With Regard to Their Durability

Šteininger¹,

Hrček²,

Smetanka³

et al. 2020

SJSUT.ST

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This article deals with an optimisation procedure of inner geometry of rolling elements designed for spherical roller bearings. A process of selection of the most appropriate solution to increase spherical roller bearing durability is understood under the term optimisation in this case. The aim of this article is to examine the impact of a change of inner geometry on the durability and reliability of spherical roller bearings regarding production technology and competitiveness. Contact strain along with a spherical roller by means of Finite Element Method (FEM) in contact points of components of a spherical roller bearing by means of designed 3D parametric models. The most appropriate shape of inner geometry of a bearing from the standpoint of calculated durability will be determined based on the results of analyses.

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Section: Spherical Roller Bearings Durabilitymentioning

confidence: 99%

Optimisation Procedure of Inner Geometry in Spherical Roller Bearings With Regard to Their Durability

Šteininger¹,

Hrček²,

Smetanka³

et al. 2020

SJSUT.ST

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“…Mechanical vibration signals often contain sufficient information on the running state of mechanical equipment, so they are widely applied in fault diagnosis of gears, motors, and bearings [ 4 , 5 , 6 , 7 ]. Compared with the force-sensor based method, the vibration-based method has obvious advantages.…”

Section: Introductionmentioning

confidence: 99%

Rope Tension Fault Diagnosis in Hoisting Systems Based on Vibration Signals Using EEMD, Improved Permutation Entropy, and PSO-SVM

Xue

Tan

Shi

et al. 2020

Entropy

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Fault diagnosis of rope tension is significantly important for hoisting safety, especially in mine hoists. Conventional diagnosis methods based on force sensors face some challenges regarding sensor installation, data transmission, safety, and reliability in harsh mine environments. In this paper, a novel fault diagnosis method for rope tension based on the vibration signals of head sheaves is proposed. First, the vibration signal is decomposed into some intrinsic mode functions (IMFs) by the ensemble empirical mode decomposition (EEMD) method. Second, a sensitivity index is proposed to extract the main IMFs, then the de-noised signal is obtained by the sum of the main IMFs. Third, the energy and the proposed improved permutation entropy (IPE) values of the main IMFs and the de-noised signal are calculated to create the feature vectors. The IPE is proposed to improve the PE by adding the amplitude information, and it proved to be more sensitive in simulations of impulse detecting and signal segmentation. Fourth, vibration samples in different tension states are used to train a particle swarm optimization–support vector machine (PSO-SVM) model. Lastly, the trained model is implemented to detect tension faults in practice. Two experimental results validated the effectiveness of the proposed method to detect tension faults, such as overload, underload, and imbalance, in both single-rope and multi-rope hoists. This study provides a new perspective for detecting tension faults in hoisting systems.

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“…As a key transmission component for adjusting speed and transmitting power, gearbox is an important component of rotating machinery [8], which is widely used in industrial, civil and military fields, such as lathe, wind turbine, automobile, construction machinery, helicopter, etc. [9][10][11][12][13][14]. However, the gearbox is one of the mechanical devices with a high failure rate because of its complex structure and long-term operation in the complex and harsh environment such as high speed and heavy load [15].…”

Section: Introductionmentioning

confidence: 99%

A Diagnosis Method for the Compound Fault of Gearboxes Based on Multi-Feature and BP-AdaBoost

Zhang

Jia

et al. 2020

Symmetry

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Gearbox is an important structure of rotating machinery, and the accurate fault diagnosis of gearboxes is of great significance for ensuring efficient and safe operation of rotating machinery. Aiming at the problem that there is little common compound fault data of gearboxes, and there is a lack of an effective diagnosis method, a gearbox fault simulation experiment platform is set up, and a diagnosis method for the compound fault of gearboxes based on multi-feature and BP-AdaBoost is proposed. Firstly, the vibration signals of six typical states of gearbox are obtained, and the original signals are decomposed by empirical mode decomposition and reconstruct the new signal to achieve the purpose of noise reduction. Then, perform the time domain analysis and wavelet packet analysis on the reconstructed signal, extract three time domain feature parameters with higher sensitivity, and combine them with eight frequency band energy feature parameters obtained by wavelet packet decomposition to form the gearbox state feature vector. Finally, AdaBoost algorithm and BP neural network are used to build the BP-AdaBoost strong classifier model, and feature vectors are input into the model for training and verification. The results show that the proposed method can effectively identify the gearbox failure modes, and has higher accuracy than the traditional fault diagnosis methods, and has certain reference significance and engineering application value.

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A Method for Diagnosing Gearboxes of Means of Transport Using Multi-Stage Filtering and Entropy

Cited by 21 publications

References 46 publications

Optimisation Procedure of Inner Geometry in Spherical Roller Bearings With Regard to Their Durability

Optimisation Procedure of Inner Geometry in Spherical Roller Bearings With Regard to Their Durability

Rope Tension Fault Diagnosis in Hoisting Systems Based on Vibration Signals Using EEMD, Improved Permutation Entropy, and PSO-SVM

A Diagnosis Method for the Compound Fault of Gearboxes Based on Multi-Feature and BP-AdaBoost

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