Epicyclic gearing or planetary gearing is a gear system that consists of one or more outer gears, or planet gears, revolving around a central, or sun gear. Typically, the planet gears are mounted on a movable arm or c...
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ISBN:
(纸本)9781629939926
Epicyclic gearing or planetary gearing is a gear system that consists of one or more outer gears, or planet gears, revolving around a central, or sun gear. Typically, the planet gears are mounted on a movable arm or carrier, which itself may rotate relative to the sun gear. The complex structure consisting of many rolling elements and versatile components results in a long stoppage if a failure occurs. Therefore, it is important to detect incipient faults at an early stage. In this paper, vibration analysis is used for the condition monitoring of an epicyclic gearbox at a water power station. Because of the quite high rotational speed of the output, acceleration and its higher order derivatives should be used in order to obtain good responsiveness to changes in the conditions. Complex models based on mechanisms are needed in order to calculate the vibration components in the frequency range and to identify the possible faulty components. There was also one vibration component in the gear the source of which could not be discovered with certainty. A combined signal processing and feature extraction approach based on generalised moments and norms provides efficient indicators for condition monitoring. The features defined by the order of derivation, the order of the norm and the sample time are used in dimensionless indices, which are calculated by dividing the feature value with a reference value corresponding to the normal operation. The indices are calculated for different real order derivatives and weighted lp norms to form S-surfaces, which are used in selecting suitable orders.
Automatic fault detection with condition indices enables reliable condition monitoring to be combined with process control. Useful information on different faults can be obtained by selecting suitable features from ge...
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ISBN:
(纸本)9781629939926
Automatic fault detection with condition indices enables reliable condition monitoring to be combined with process control. Useful information on different faults can be obtained by selecting suitable features from generalised norms, which are defined by the order of derivation, the order of the norm and sample time. The nonlinear scaling based on generalised norms and skewness extends the idea of dimensionless indices to nonlinear systems and provides good results for the automatic generation of condition indices. Condition indices, which are used in the same way as the process measurements in process control, detect differences between normal and faulty conditions and provide an indication of the severity of the faults. Feature specific health indices, which are calculated as ratios of feature values in the reference condition and the faulty case, are used in selecting efficient features. In the multisensor vibration analysis, the number of sensors and features were drastically reduced. The number of features is further reduced by optimal orders for the derivatives and norms. The complexity of the models is simultaneously reduced. For the supporting rolls of a lime kiln, an efficient indication of faulty situations is achieved with two features. All the rolls can be analysed with the same approach throughout the data set. The results of both the applications are consistent with the vibration severity criteria: good, usable, still acceptable, and not acceptable. Three standard deviations obtained for the signal x (4) on three frequency ranges were needed to detect unbalance and bearing faults. The norms based on the signal x(4) provide the best results in all the frequency ranges.
Self-optimizing mechatronic systems allow the adaptation of the system's behavior to the current situation. This can be used to actively adapt the behavior to the current degradation state of the system or of some...
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Self-optimizing mechatronic systems allow the adaptation of the system's behavior to the current situation. This can be used to actively adapt the behavior to the current degradation state of the system or of some of its components. To this end, the Multi-Level Dependability Concept has been developed.
This paper presents a new robust control scheme using sliding mode control associated with disturbance observer enhanced by varying boundary layers technique. Switching-gain of the sliding mode is adaptable on the est...
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ISBN:
(纸本)9781467363204
This paper presents a new robust control scheme using sliding mode control associated with disturbance observer enhanced by varying boundary layers technique. Switching-gain of the sliding mode is adaptable on the estimated disturbance. The scheme is developed to guarantee tracking accuracy of an electro-hydraulic actuator system with robust and smooth control actions in the existence of uncertainties and the changes of external load disturbance. Robustness and smoothness of the control actions is assured if the switching gain of the control law is greater and adaptable on the bounds of the uncertainties and the disturbance. Moreover, the smoothness of the control input is enhanced by varying boundary layers technique based on the estimated disturbance. The capability of the proposed controller is validated through simulation. The simulation results indicate that the proposed scheme ensures the tracking performance with smooth control actions in different levels of the external load disturbance. This scheme offers a significant efficiency of energy in the control of EHA systems.
The influence of friction on microforming increased dramatically than macroforming with the miniature of the forming parts. The factors which have great impact on friction coefficient in microsheet forming were studie...
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An effective error handling mechanism plays an important role to ensure the reliability and robustness of the application of controller area network (CAN) in controlling dynamic systems. This paper addresses a new onl...
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This study applies technique PDC (parallel distributed compensation) for position control of a Magnetic levitation system. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. It is shown that this techni...
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Due to their robustness and cost effectiveness, double fed induction generator (DFIG) based wind turbines are becoming very popular in wind energy conversion systems. Robustness of any implemented control structure ca...
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Due to their robustness and cost effectiveness, double fed induction generator (DFIG) based wind turbines are becoming very popular in wind energy conversion systems. Robustness of any implemented control structure can easily be lost due to nonlinearities, variations in the DFIG parameters and network voltage failures. In this study, machine parameter dependent terms will be estimated with the first order low pass filter disturbance observer, and stator voltage orientation will be applied in the experimental test bed. DSP ACE DS1103 platform is used as a digital controller.
This study applies technique PDC (parallel distributed compensation) for speed control of a Digital Servo System. PDC method is based on nonlinear Takagi-Sugeno (T-S) fuzzy model. Also in this study Neural Adaptive is...
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In multi robot system where two or more robot will be working together to complete a task given, it is fundamental to have a good communication between robots. This paper will discuss communication strategy by providi...
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