The gear pair assembly remains one of the major vibration sources in power transmission systems of mechanical rotating machinery. The gear vibration signature is often dominated by several high-level tonal peaks that occur at the fundamental gear mesh and its harmonics. The primary forcing function is produced by the gear transmission error excitation resulting from tooth profile errors, misalignment and elastic deformation. The excessive dynamic response generated can frequently lead to structural fatigue failure. Therefore, it is highly desirable to control the low-speed planetary gearbox rotational vibration acceleration levels. To achieve this goal, the present study demonstrates a method by which these vibrations produced due to the primary forcing function originating from the mesh points can be controlled. Hence, to deal with both the meshing stiffness generation and vibration transmissibility processes more effectively, the control system must be applied close to the gear's connection. This close proximity will allow the application of a single controller. Selection of the proper rule base depending upon the situation can be achieved by the use of an adaptive neuro-fuzzy inference system (ANFIS) controller as an integrated approach for purposes of control to yield excellent results, and this is the highlight of this paper. The results presented in the paper show that the outputs take less time to stabilize. Moreover, due to incorporation of the ANFIS controller with the plant, it is observed that the gearbox reaches the desired vibration very quickly in relatively shorter time. Corresponding actual output of the ANFIS identifier of the m th component. Keywords INTRODUCTIONFuzzy logic controller has previously been implemented to adjust the boundarylayer width according to the speed error [1]. The drawback of their controller is that it depends on the equivalent control and on the system parameters. An excellent control scheme for control of various applications in the industrial sector was developed [2]. This controller had many advantages over conventional techniques.The Takagi-Sugeno (T-S) fuzzy model identification method by which a great numbers of systems whose parameters vary dramatically with working states can be identified via fuzzy neural networks (FNNs). The suggested method could overcome the drawbacks of traditional linear system identification methods, which are only effective under certain narrow working states, and provide global dynamic description based on which further control of such systems may be carried out. An application of the neuro-fuzzy logic pulse-width modulation (PWM) based proportional derivative (PD) controller was proposed, where a comparison with the conventional techniques (such as fuzzy-proportional integral derivative (PID) and fuzzy-proportional derivative (PD) controllers) was done [3]. MATLAB Simulink software was employed to show that the fuzzy logic based PD controller provides robust control for non-linear power electronics variable switching structure ...
Planetary gearbox fault diagnosis is very important for reducing the downtime, maintenance cost, and for improving the safety, reliability, and lifespan of wind turbines. The present work reports the results concluded by long-term experiments to a defected planetary gearbox system, with a transverse cut with a depth of 1.0 mm and thickness of 0.2 mm to simulate the planetary gearbox component crack. For each defect, recordings every 60.0 min were acquired and a total of 7 recordings (∼ 6.0 h of test duration) were resulted until the termination of the test. Fault is assured by increasing the test period to the point of where the remaining metal in the tooth area has enough stress to be in the plastic deformation region. An experimental procedure is developed to assess the severity of the gearbox component fault. Gearbox components faults of cracked planet gear tooth, cracked planet gears carrier, and cracked main bearing inner race were tested under accelerated fault conditions, where a comparative analysis of condition monitoring indicators for various crack detection has been done. The experimental localized fault signals (vibration acceleration signals) were subjected to the same diagnostic techniques such as spectrum comparisons, spectral kurtosis analysis, skewness analysis, and crest factor analysis. The method is validated on a set of seeded localized faults on all gears and components: sun gear, ring gear, etc. The results look promising, where the root mean square value analysis could be a good indicator when compared with the other indicators in terms of early detection and characterization of faults.
Vehicle suspension along with tires and steering linkages is designed for safe vehicle control and to be free of irritating vibrations. Therefore the suspension system designs are a compromise between ride softness and handing ability. However, this work is concerned with a theoretical investigation into the ride behavior of actively suspended vehicles. It is based on using fuzzy logic control (FLC) to implement a new sort of active suspension system. Comparisons between the behavior of active suspension system with FLC with those obtained from active systems with linear-quadratic regulator (LQR), ideal skyhook system and the conventional passive suspension systems. Results are introduced in such a way to predict the benefits that could be achieved from a fuzzy logic system over other competing systems. Furthermore, a controller is designed and made by using results of FLC system, theoretical inputs are used to examine the validity of this controller. Moreover, comparison between actual outputs from this controller with those obtained theoretically is made to judge the validity of the controller. The results indicate that the controller has a good capability in simulation of the theoretical model.
Because of the higher requirements for vehicle comfort and people's increasing ecological consciousness, research on the interior noise in a vehicle has received wide attention, among which structure-borne noise is hard to diagnose. To solve the problem, the transfer path analysis method of powertrain structure-borne noise has been systematically analyzed. By introduction of the powertrain source-path-receiver model, this method enables the researchers to estimate and study the noise, vibration, and harshness transfer functions and their operational forces. The aim is to further improve noise, vibration, and harshness with minimal negative impact on other vehicle attributes, such as ride comfort, handling, drivability, durability, etc. In this article, a parallel dry friction damper was added to the vehicle nearside powertrain mount, which is the most significant one to the receiver of passenger vehicle for improving its interior structure-borne noise induced by the engine. The test vehicle was a midsize executive vehicle. Since the structure-borne noise is composed of multiple paths, then the transfer path analysis test of the vehicle was carried out, and the transfer function and operational data at speed range started from 20 to 100 km/h were obtained. On the basis of the transfer path analysis results and the above principle, the friction damper on the body side of the nearside mount is improved by combination of the experimental transfer path analysis and the final measurements. The results indicate that a significant reduction for the A-weighted sound pressure level of the interior noise has been gained when the frictional damper was added to conventional mount.
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