The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform
Ales Belsak - One of the best experts on this subject based on the ideXlab platform.
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Vibration Analysis to Determine the Condition of Gear Units
Strojniški vestnik, 2020Co-Authors: Ales Belsak, Jože FlaškerAbstract:The use of the most up-to-date production technologies and a high level of production stability without any unscheduled outages are of utmost importance; they are affected primarily by monitoring the condition and by adequate maintenance of mechanical systems. Life cycle design of machines and devices is nowadays gaining ground rather quickly,- users want that machines and devices operate with a high level of accuracy and reliability and with as few outages as possible. Thus, by monitoring the condition, not only the presence of changes but also predictions related to the type and size of damage or error jeopardising the high quality of operation during the remaining life cycle of a machine is established.
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Diagnostics Cracks in Gears with Wavelet Analysis
2013Co-Authors: Ales Belsak, Jože FlaškerAbstract:A crack in the tooth root, which is the least desirable damage caused to Gear Units, often leads to failure of Gear unit operation. A possible damage can be identified by monitoring vibrations. Time signals were obtained by experiments. Amplitudes of time signal vibration are, by frequency analysis, presented above all as a function of frequencies in spectrum using hybrid procedure for determining the level of non-stationarity of operating conditions primarily of rotational frequency. A non-stationary signal was analysed as well, using the family of Time Frequency Analysis tools, including Wavelets and Joint Time Frequency Analyses. Wavelet analysis is suitable primarily for non-stationary phenomena with local changes. The purpose was to obtain the location of the crack, i.e. to identify the tooth. Typical spectrogram and scalogram patterns result from reactions to faults or damages; they indicate the presence of faults or damages in a very reliable way.
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Identifying Cracks in Gears Using Wavelet Analysis
2013Co-Authors: Ales Belsak, Jože FlaškerAbstract:A crack in the tooth root, which is the least desirable damage caused to Gear Units, often leads to failure of Gear unit operation. Gear Units with real damages or faults, which had been formed with the aid of numerical simulations of real operating conditions, were used for fault analyses presented in this article. A laboratory test plant was used. It is possible to identify damages by monitoring vibration. The influences that a crack in a single-stage Gear unit has on produced vibrations are presented. A fatigue crack in the tooth root causes important changes in tooth stiffness whereas, in relation to other faults, changes of other dynamic parameters are more expressed. Time signals were obtained by experiments and different analysis methods were applied. Amplitudes of time signal vibration are, by frequency analysis, presented above all as a function of frequencies in a spectrum using hybrid procedure to determine the level of non-stationarity of operating conditions primarily of a rotational frequency. Also in relation to a non-stationary signal, signal analysis was performed, using the family of Time Frequency Analysis tools, including Wavelets and Joint Time Frequency Analyses. Typical spectrogram and scalogram patterns, which result from reactions to faults or damages, indicate the presence of faults or damages in a very reliable way.
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Identification of complex sound sources produced by Gear Units
Engineering Failure Analysis, 2011Co-Authors: Ales Belsak, Jurij PrezeljAbstract:Abstract Noise source visualisation represents an important tool for technical acoustics. Many techniques of noise source visualisation have been developed, based on a specific noise source in a specific type of acoustic environment. A new visualisation method of complex noise sources is presented, using an acoustic camera and a new algorithm. Different transient acoustical phenomena can be noted. Additionally, a new family of biorthogonal wavelets is applied to determine fault in Gears. The new wavelets are a generalisation of biorthogonal wavelet systems. Smoothness is controlled independently in the analysis. For the optimisation of the synthesis bank, discrete finite variation is used. Differentiability is measured, for which a large number of vanishing wavelet moments is necessary, in favour of a smoothness measure based on the fact that a finite depth of the filter bank tree is in most case related to practical applications.
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Analysis of Vibrations and Noise to Determine the Condition of Gear Units
Advances in Vibration Analysis Research, 2011Co-Authors: Ales Belsak, Jurij PrezeljAbstract:The main goal of maintenance is to maintain the characteristics of a technical system at the most favourable or still acceptable level. Maintenance costs can be reduced, operation can become more reliable and the frequency and complexity of damages can be reduced. To evaluate the condition of a technical system, it is necessary to collect precise data, and the to analyse, compare and process this data properly. Gear Units are the most frequent machine parts or couplings. They consist of a housing, toothed wheels, bearings and a lubricating system and are of various types and sizes. Durable damages in Gear Units are often a resulta of the following factors: geometrical deviations or unbalanced component parts, material fatigue, which is a result of engagement of a Gear pair, or damages caused to roller bearings. To monitor the condition of mechanical systems, methods for measuring vibrations and noise are usually used; data about a Gear unit can be acquired in this way. Afterwards certain tools are used to analyse the data. Features that denote the presence of damages and faults are identified in this way.
Jože Flašker - One of the best experts on this subject based on the ideXlab platform.
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Vibration Analysis to Determine the Condition of Gear Units
Strojniški vestnik, 2020Co-Authors: Ales Belsak, Jože FlaškerAbstract:The use of the most up-to-date production technologies and a high level of production stability without any unscheduled outages are of utmost importance; they are affected primarily by monitoring the condition and by adequate maintenance of mechanical systems. Life cycle design of machines and devices is nowadays gaining ground rather quickly,- users want that machines and devices operate with a high level of accuracy and reliability and with as few outages as possible. Thus, by monitoring the condition, not only the presence of changes but also predictions related to the type and size of damage or error jeopardising the high quality of operation during the remaining life cycle of a machine is established.
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Diagnostics Cracks in Gears with Wavelet Analysis
2013Co-Authors: Ales Belsak, Jože FlaškerAbstract:A crack in the tooth root, which is the least desirable damage caused to Gear Units, often leads to failure of Gear unit operation. A possible damage can be identified by monitoring vibrations. Time signals were obtained by experiments. Amplitudes of time signal vibration are, by frequency analysis, presented above all as a function of frequencies in spectrum using hybrid procedure for determining the level of non-stationarity of operating conditions primarily of rotational frequency. A non-stationary signal was analysed as well, using the family of Time Frequency Analysis tools, including Wavelets and Joint Time Frequency Analyses. Wavelet analysis is suitable primarily for non-stationary phenomena with local changes. The purpose was to obtain the location of the crack, i.e. to identify the tooth. Typical spectrogram and scalogram patterns result from reactions to faults or damages; they indicate the presence of faults or damages in a very reliable way.
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Identifying Cracks in Gears Using Wavelet Analysis
2013Co-Authors: Ales Belsak, Jože FlaškerAbstract:A crack in the tooth root, which is the least desirable damage caused to Gear Units, often leads to failure of Gear unit operation. Gear Units with real damages or faults, which had been formed with the aid of numerical simulations of real operating conditions, were used for fault analyses presented in this article. A laboratory test plant was used. It is possible to identify damages by monitoring vibration. The influences that a crack in a single-stage Gear unit has on produced vibrations are presented. A fatigue crack in the tooth root causes important changes in tooth stiffness whereas, in relation to other faults, changes of other dynamic parameters are more expressed. Time signals were obtained by experiments and different analysis methods were applied. Amplitudes of time signal vibration are, by frequency analysis, presented above all as a function of frequencies in a spectrum using hybrid procedure to determine the level of non-stationarity of operating conditions primarily of a rotational frequency. Also in relation to a non-stationary signal, signal analysis was performed, using the family of Time Frequency Analysis tools, including Wavelets and Joint Time Frequency Analyses. Typical spectrogram and scalogram patterns, which result from reactions to faults or damages, indicate the presence of faults or damages in a very reliable way.
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Analysis Of Vibrations For DetectingCracks In Gears
WIT Transactions on the Built Environment, 2010Co-Authors: Ales Belsak, Jože FlaškerAbstract:A crack in the tooth root, which often results in failure of Gear unit operation, is the least desirable among damages and faults, which can cause problems in Gear unit operation. A fatigue crack in the tooth root brings about important changes in tooth stiffness, whereas other faults are usually associated with changes in other dynamic parameters. In this paper, fault analyses relating to Gear Units with real damages or faults are presented. Possible damage can be determined by monitoring vibrations. Time signals acquired by experiments are analysed by means of various methods. The Wavelets and Joint Time Frequency Analyses are used to analyse non-stationary signals.
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Wavelet analysis for Gear crack identification
Engineering Failure Analysis, 2009Co-Authors: Ales Belsak, Jože FlaškerAbstract:Abstract There are many typical damages and faults that can cause problems in relation to Gear unit operation, a crack in the tooth root being probably the least desirable among them. It often results in failure of Gear unit operation. Fault analyses presented in this article are based on Gear Units with real damages or faults, produced on the basis of real operating conditions. A test plant has been used. A possible damage can be identified by monitoring vibrations. The influences of a crack in a single-stage Gear unit on produced vibrations are presented. A fatigue crack in the tooth root causes significant changes in tooth stiffness, whereas, in relation to other faults, changes of other dynamic parameters are more expressed. Different methods are used to analyse signals acquired by experiments. Signal analysis has been carried out in relation to a non-stationary signal, using the family of Time Frequency Analysis tools, such as Wavelets Analyses. Typical spectrogram and scalogram patterns resulting from reactions to faults or damages indicate the presence of damages in a very reliable way.
Makoto Kaneko - One of the best experts on this subject based on the ideXlab platform.
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IROS - Additional manipulating function for limited narrow space with omnidirectional driving Gear
2012 IEEE RSJ International Conference on Intelligent Robots and Systems, 2012Co-Authors: Kenjiro Tadakuma, Riichiro Tadakuma, Kyohei Ioka, Takeshi Kudo, Minoru Takagi, Yuichi Tsumaki, Mitsuru Higashimori, Makoto KanekoAbstract:In this paper, additional manipulating function for limited narrow space with omnidirectional driving Gear was described. The validity and advantage of the proposed function was also confirmed through experiments using the actual prototype of the planar omnidirectional driving Gear Units for the parallel gripper.
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Additional manipulating function for limited narrow space with omnidirectional driving Gear
2012 IEEE RSJ International Conference on Intelligent Robots and Systems, 2012Co-Authors: Kenjiro Tadakuma, Riichiro Tadakuma, Kyohei Ioka, Takeshi Kudo, Minoru Takagi, Yuichi Tsumaki, Mitsuru Higashimori, Makoto KanekoAbstract:In this paper, additional manipulating function for limited narrow space with omnidirectional driving Gear was described. The validity and advantage of the proposed function was also confirmed through experiments using the actual prototype of the planar omnidirectional driving Gear Units for the parallel gripper.
Liangwei Zhong - One of the best experts on this subject based on the ideXlab platform.
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Parametric Design of Batch Flender’s Gear Units Based on Pro/Engineer
Mathematical Models and Methods in Applied Sciences, 2011Co-Authors: Xinyi Jiang, Jingfeng Shen, Liangwei ZhongAbstract:On the basis of studying the structure and design specification of Flender’s Gear Units, a method of parametric design and modeling for batch Gear Units based on Pro/Engineer has been adopted. According to given dimensions, we has initially defined variables in Pro/Engineer and established a family table which comprises all the required dimensions, then assigned variables or equations to corresponding feature dimensions during modeling. The model of a Gear unit consists of two sections: one is the fundamental shape, the dimensions of which are all given; the other is the external embellish, including the bosses around the axes, the oil gallery for lubrication, the inspecting hole and so on, the dimensions of which are to be designed and determined by designers so as to create an ideal figure of the case. Thus, each series of Gear Units merely requires a single model, so that all parts in the entire series of Gear Units shall be generated through the family table and saved as an individual product respectively. The experimental results demonstrate that the development period is shortened, the cost is reduced and the productivity is increased.
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parametric design of batch flender s Gear Units based on pro engineer
Mathematical Models and Methods in Applied Sciences, 2011Co-Authors: Xinyi Jiang, Jingfeng Shen, Liangwei ZhongAbstract:On the basis of studying the structure and design specification of Flender’s Gear Units, a method of parametric design and modeling for batch Gear Units based on Pro/Engineer has been adopted. According to given dimensions, we has initially defined variables in Pro/Engineer and established a family table which comprises all the required dimensions, then assigned variables or equations to corresponding feature dimensions during modeling. The model of a Gear unit consists of two sections: one is the fundamental shape, the dimensions of which are all given; the other is the external embellish, including the bosses around the axes, the oil gallery for lubrication, the inspecting hole and so on, the dimensions of which are to be designed and determined by designers so as to create an ideal figure of the case. Thus, each series of Gear Units merely requires a single model, so that all parts in the entire series of Gear Units shall be generated through the family table and saved as an individual product respectively. The experimental results demonstrate that the development period is shortened, the cost is reduced and the productivity is increased.
Jurij Prezelj - One of the best experts on this subject based on the ideXlab platform.
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Identification of complex sound sources produced by Gear Units
Engineering Failure Analysis, 2011Co-Authors: Ales Belsak, Jurij PrezeljAbstract:Abstract Noise source visualisation represents an important tool for technical acoustics. Many techniques of noise source visualisation have been developed, based on a specific noise source in a specific type of acoustic environment. A new visualisation method of complex noise sources is presented, using an acoustic camera and a new algorithm. Different transient acoustical phenomena can be noted. Additionally, a new family of biorthogonal wavelets is applied to determine fault in Gears. The new wavelets are a generalisation of biorthogonal wavelet systems. Smoothness is controlled independently in the analysis. For the optimisation of the synthesis bank, discrete finite variation is used. Differentiability is measured, for which a large number of vanishing wavelet moments is necessary, in favour of a smoothness measure based on the fact that a finite depth of the filter bank tree is in most case related to practical applications.
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Analysis of Vibrations and Noise to Determine the Condition of Gear Units
Advances in Vibration Analysis Research, 2011Co-Authors: Ales Belsak, Jurij PrezeljAbstract:The main goal of maintenance is to maintain the characteristics of a technical system at the most favourable or still acceptable level. Maintenance costs can be reduced, operation can become more reliable and the frequency and complexity of damages can be reduced. To evaluate the condition of a technical system, it is necessary to collect precise data, and the to analyse, compare and process this data properly. Gear Units are the most frequent machine parts or couplings. They consist of a housing, toothed wheels, bearings and a lubricating system and are of various types and sizes. Durable damages in Gear Units are often a resulta of the following factors: geometrical deviations or unbalanced component parts, material fatigue, which is a result of engagement of a Gear pair, or damages caused to roller bearings. To monitor the condition of mechanical systems, methods for measuring vibrations and noise are usually used; data about a Gear unit can be acquired in this way. Afterwards certain tools are used to analyse the data. Features that denote the presence of damages and faults are identified in this way.
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Investigating Sound Sources of Faulty Gear Units
Key Engineering Materials, 2009Co-Authors: Ales Belsak, Jurij PrezeljAbstract:In diagnostics, the condition of mechanical systems can be determined very reliably on the basis of noise. Noise source visualization is based on a number of different methods. These methods are primarily intended for a specific noise source in a specific acoustic environment. In this paper, a visualization method of complex noise sources, based on the use of acoustic camera, is dealt with. All types of different complex noise sources can be visualized, using a special acoustic algorithm. Also, various transient acoustical phenomena can be observed.
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Identification of Noise Emission in a Gear Unit
Journal of the Acoustical Society of America, 2008Co-Authors: Ales Belsak, Jurij PrezeljAbstract:Today it is very important to ensure a stable production without unscheduled outages. To achieve this objective it is required to use advanced production technologies, to ensure adequate maintenance of mechanical systems and to monitor the condition of a device or machine. Reliable and accurate operation of machines and devices with as few outages as possible is desired. The significance of a life cycle design of machines and devices is growing. Possible damages in Gear Units can be defined by means of monitoring acoustic emission. A crack in the tooth root is usually indicated by significant changes in tooth stiffness. A difference in dynamic responses of an undamaged Gear and of a damaged Gear can be noted. The possibility of the use of an acoustic method in the field of condition diagostics is dealt with. The noises produced by a Gear unit have been analysed, the noise sources within a Gear unit have been determined and the corresponding time‐frequency analysis of these sources have been performed, usi...
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Analysis of noise sources produced by faulty small Gear Units
2007Co-Authors: Ales Belsak, Jurij PrezeljAbstract:Noise source vizualization represents an important tool in the field of technical acoustics. There are many different techniques of noise source visualization. Most of them, however, are intended for a specific noise source in a specific type of acoustic environment. Consequently, a certain visualization method can be used only for certain types of noise sources in a specific acoustic environment and in a restricted frequency area. This paper presents a new visualization method of complex noise sources on the basis of the use of an acoustic camera. A new algorithm has been used, which makes it possible to visualize all types of different complex noise sources. Monopole, dipole or quadropole noise sources can be observed simultaneously. It is possible to track a moving noise source by means of an acoustic camera. In addition to that it is possible to observe various transient acoustical phenomena. Through the use in diagnostics, it is possible to define, by means of noise, the condition of mechanical systems at an advance level.
