The signals x(3) and x(4) are very suitable for the condition monitoring, and real order derivatives x(α) provide additional possibilities. Generalised moments τM αp and their lp norms are defined by the order of d...
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ISBN:
(纸本)9781618390097
The signals x(3) and x(4) are very suitable for the condition monitoring, and real order derivatives x(α) provide additional possibilities. Generalised moments τM αp and their lp norms are defined by the order of derivation (α), the order of the moment (p) and sample time (τ), which all are real numbers. The lp norms have the same dimensions as the corresponding signal. Optimal parameters α, p and τ, have been obtained for a Kaplan water turbine, which was analysed in a wide power range. A short sample time, τ=3 s, and relatively small requirements for the frequency ranges make this approach feasible for on-line analysis and power control. High correlation to the knowledge-based cavitation index is achieved with the relative max( 3 M42.75). In the problematic low power range, absolute average and rms values result in considerably lower R2 values even when α=4, and the corresponding norms with α=3 are inacceptable. The second example is a centrifuge, which has very fast rotating roller bearings. The sensitivities of the norms with different values for the order α, and the order p are compared. The sample time 3.9 ms corresponds to two rotations. A good order of derivation and proper frequency ranges are beneficial for fault detection. The norms based on the signal x(4) provide the best results: good results are already obtained in the frequency range 10-1000 Hz. The absolute mean x(α) av can be used if the order α is proper and the frequency range is sufficient. This is readily suitable for intelligent sensors where a good solution is to use analog signals x(4) and combine peak values x (4)p and absolute averages x(4) av. These methodologies are not limited to vibration analysis.
This paper presents the mechanical design and kinematic analysis methodologies of a 3-PRR flexure-based parallel mechanism, which can be utilized to conduct planar precision positioning as required for automating micr...
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ISBN:
(纸本)9780889868106
This paper presents the mechanical design and kinematic analysis methodologies of a 3-PRR flexure-based parallel mechanism, which can be utilized to conduct planar precision positioning as required for automating micro/ nano manipulation tasks. Flexure hinges are used as the revolute joints to provide smooth motion in the range of micrometers. Three high performance piezoelectric actuators are utilized to drive the flexure-based mechanism. The kinematics of the proposed flexure-based parallel mechanism is established. Finite element analysis is conducted to validate the performance of the 3-PRR flexure-based parallel mechanism. Two simplified methodologies are proposed to improve the computational efficiency of the kinematics of the developed mechanism.
Based on the distance algorithm by Gilbert et al., this paper presents a numerical algorithm for computing the intersection of the boundary of a compact convex set with a ray emanating from an interior point of the se...
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Based on the distance algorithm by Gilbert et al., this paper presents a numerical algorithm for computing the intersection of the boundary of a compact convex set with a ray emanating from an interior point of the set, which is known as the ray-shooting problem. Affinely independent points on the boundary of the convex set are also determined such that the intersection point can be written as their convex combination. Because of its high efficiency and other good qualities, this algorithm provides superior solutions to three fundamental problems in robotic grasping, i.e., force-closure test, contact force optimization, and grasp quality evaluation, which can be formulated as the ray-shooting problem.
This article addresses the adjustment of overlaps between local models in hierarchical local model networks. A comparison with flat model structures exposes the advantages of the hierarchical approach. The objective i...
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This article addresses the adjustment of overlaps between local models in hierarchical local model networks. A comparison with flat model structures exposes the advantages of the hierarchical approach. The objective is to identify a smooth global model with validity functions that have a local and unimodal interpretation in the input space. The difficulty in achieving appropriate local model overlaps is solved with a new algorithm for automatic transition adjustment. It overcomes the problem that an a-priori smoothness fixation is disadvantageous because of the primary unknown number of hierarchy levels of the identified model. The universal approximation characteristic will get lost if too large overlaps of newly added local models prevent an improvement of the global model. An illustration of this effect is given by a simple demonstration example. Furthermore an example of a practical application is presented with the torque modeling of a combustion engine map.
The deformation of NiTi shape memory alloy strips and microtubes subjected to uniaxial tensile loading involves formation and growth of high-strain martensite domain(s) of various shapes due to autocatalytic stress-in...
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This paper presents a high-precision position control system for a linear switched reluctance motor (LSRM) based on dSPACE real-time control platform. The LSRM has a very simple structure and it can be manufactured ea...
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This paper presents a high-precision position control system for a linear switched reluctance motor (LSRM) based on dSPACE real-time control platform. The LSRM has a very simple structure and it can be manufactured easily, and there is no need for magnets. The control system utilizes dSPACE development platform as the controller and generates the real-time code for the control algorithm and motor model, tuning the control parameters online and PD algorithm is implemented. The experiment results indicate that with the control method presented in the paper, the position error is less than 0.04 mm. Also compared with traditional research and development method, using dSPACE real-time control platform is able to quickly complete research and development for this kind of position control system, and the advantages are not only to shorten the entire system development cycle but also ensure system reliability and reduce costs.
The field of electric braking has focused its attention on braking force obtained by using a motor instead of a hydraulic brake which has been adopted by previous automobile systems. Electric braking is a system which...
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The field of electric braking has focused its attention on braking force obtained by using a motor instead of a hydraulic brake which has been adopted by previous automobile systems. Electric braking is a system which consists of fewer numbers of components than previous hydraulic brakes, and it has effects of improved responsiveness and reduced braking distance for the ABS(Anti-lock Brake System) and the ESC(Electronic Stability control). The purpose of this paper is to develop BLAC motor Drive System for Electro-Magnetic Brake(EMB). In order to achieve the purpose, this paper shows a control system constituted by a power converter system which drives a motor and a digital control system which controls the speed, and it suggests a vector control strategy for a fast torque response. Furthermore, this paper applies the control technique and verifies the performance of BLAC motor drive system for EMB while providing the result of experiment as well as simulation by Matlab/Simulink.
This paper compares flat and hierarchical model structures in local model networks and discusses the side effects of normalization. A new algorithm for automatic transition adjustment between local models avoids undes...
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ISBN:
(纸本)9781424445233
This paper compares flat and hierarchical model structures in local model networks and discusses the side effects of normalization. A new algorithm for automatic transition adjustment between local models avoids undesirable effects that occur with the hierarchical approach and leads to a suitable model structure with better interpretability of local models. Demonstration examples illustrate the advantages over the existing approaches.
In this paper the new algorithm SUHICLUST (supervised hierarchical clustering) is presented. It unifies the strengths of the supervised, incremental construction scheme LOLIMOT with the advantages of product space clu...
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In this paper the new algorithm SUHICLUST (supervised hierarchical clustering) is presented. It unifies the strengths of the supervised, incremental construction scheme LOLIMOT with the advantages of product space clustering. The result of this fusion is a powerful structure identification algorithm that enables approximation of processes with axes-oblique partitioning, high flexible validity functions and local polynomial models. The theoretical comparison with LOLIMOT and product space clustering and a demonstration example underline the usefulness of SUHICLUST.
This study investigate the potential biomedical application of micro/nano-aperture membrane fabricated with Polytetrafluoroethylene (PTFE). Experimental work is carried out to examine the membrane's sound transmis...
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