Use of bispectral-based fault detection method in the vibroacoustic diagnosis of the gearbox

Jasiński, M.; Radkowski, S.

doi:10.1007/978-0-85729-320-6_76

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…The changes which accompany the subsequent phases of development of fatigue-related defects are observable in a bispectrum [5]. Particularly interesting results have been obtained for a diagonal bispectral measure, for a maximum bispectral measure and for measure created from vector of maximum values of triangular matrix separated from bispectrum matrix by removing main diagonal of this matrix [4].…”

Section: Results Of Laboratory Experimentsmentioning

confidence: 95%

Use of Condition Monitoring in the Proactive Maintenance Strategy

Radkowski

Jasiński

2014

Lecture Notes in Mechanical Engineering

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The objectives of the presented paper are to better understand the mechanism of failure development in the dynamic mechanical systems. It is important to consider carefully the present changes in technical conditions of elements of the system when planning the requirements to a proactive risk management's strategy. While a dynamical system traditionally is modeled by structural decomposition, in the paper the dynamic behavior of system is modeled by decomposition of the behavior flow into events and errors accompanying occurrence of failure. From this point of view the nonlinear model of failure occurrence is analyzed to realizing long term benefits of a proactive maintenance strategy. The models describe the effect on the evolution at the process variables for each hypothesized fault failure. In the paper it is also analyzed the impact of nonlinearity of the sub-section on the behavior of the whole system.

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Section: Results Of Laboratory Experimentsmentioning

confidence: 95%

Use of Condition Monitoring in the Proactive Maintenance Strategy

Radkowski

Jasiński

2014

Lecture Notes in Mechanical Engineering

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“…Vibrations are also a very ample source of information on the technical condition, and hence they are commonly used in diagnostic systems [49,50,52,55,60,85,108,[190][191][192]. Bearing in mind such extensive fields of influence and application of vibrations, it is highly recommendable that the impact exerted by selected parameters on the form of vibrations recorded as well as their distribution in the vehicle structure should be studied.…”

Section: Fig 21 Classification Of Vibration In Term Of Exposure On Human In Passenger Carmentioning

confidence: 99%

“…Vibroacoustic diagnostics, based on the analysis of vibration or acoustic signals perceived as residual processes of non-invasive nature, is becoming more and more important in this respect. The scope of its application as well as the applicability of methods in numerous diagnostic systems also results from the capabilities of advanced methods of signal analysis and identification of numerous characteristics of technical condition [44,57,60,62,81,86,108,118].…”

Section: Propagation Of Vibrations and Vibroacoustic Diagnosticsmentioning

confidence: 99%

Identification of sources, propagation and structure vibrations affecting men in means of transport based on the example of automotive vehicles

Burdzik¹

2014

Book Series on Vibroengineering

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“…Note that a natural extension of this proposal is the task of determining the size and type of the nonlinearity on the basis of the analysis of the density of the probability distribution of the nonlinear response. So far, analysis of the higher-order spectrums and the recently obtained results of studies [21,22] show high diagnostic informativity of nonlinear phenomena accompanying the development of damage. Both the qualitative and quantitative changes in nonlinear effects can be used to evaluate the evolution of the fatigue process resulting in catastrophic failures [23].…”

Section: Introductionmentioning

confidence: 96%

Model-based detection of local defects in gears

Mączak¹,

Jasiński²

2017

Arch Appl Mech

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The paper is presenting a methodology for developing model-based method of gear fault diagnostics. First the simulation model of the helical gearbox is discussed allowing analysis of the phenomena taking place during teeth mating in the presence of manufacturing and assembly errors. It includes observation of influence of errors on the generated signals. The model was initially used to analyze the teeth contact in the presence of pitch errors and later to verify the sensitiveness of proposed diagnostic methods and their availability to detect the fatigue damages of teeth. The common feature of discussed approach is the direct use of time signal processing algorithms, and in contrary to the methods based on spectral analysis it allows precise localization of gear defects like pitting and tooth fracture associating them to the particular pinion or gear teeth. Their advantage is the simplicity and speed of action that is of great significance for the implementation in the autonomous transmission diagnostic systems and diagnostic systems working online. Presented methods of signal processing were first tested on a simulation model of the gear assembly and later verified during the experiments on a back-to-back test stand.

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Use of bispectral-based fault detection method in the vibroacoustic diagnosis of the gearbox

Cited by 8 publications

References 3 publications

Use of Condition Monitoring in the Proactive Maintenance Strategy

Use of Condition Monitoring in the Proactive Maintenance Strategy

Identification of sources, propagation and structure vibrations affecting men in means of transport based on the example of automotive vehicles

Model-based detection of local defects in gears

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