Forecasting of process outages for reducing downtime and machine scrap parts have been actively pursued in the manufacturing industries to ensure that maintenance is carried out only when required. In this paper, we p...
详细信息
Forecasting of process outages for reducing downtime and machine scrap parts have been actively pursued in the manufacturing industries to ensure that maintenance is carried out only when required. In this paper, we propose a precognitive maintenance framework based on mixed time- and condition-based models to predict both wear and degradation stage of realistic engineering systems. The decision-making framework performs stage classification using support vector machines and wear estimation using time-based autoregressive moving average with exogenous inputs models. Our proposed framework is supported by mathematical rigour, and its effectiveness is evaluated with experimental results on a high-speed industrial computer numerical control milling machine for tool wear stage identification and wear estimation. [PUBLICATION ABSTRACT]
The design, characterization and control of a novel 2-DOF MEMS nanopositioner is presented, with Z-shaped electrothermal actuators being used to position the device's central stage. Whereas the more commonly-used ...
详细信息
Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations ...
详细信息
Many systems repeat the same operation over and over again on a finite duration. Repetitive processes have this characteristic where repeated sweeps, termed passes, are made over the finite pass length and when each i...
Many systems repeat the same operation over and over again on a finite duration. Repetitive processes have this characteristic where repeated sweeps, termed passes, are made over the finite pass length and when each is complete the process resets to the starting location and the next pass begins. The distinguishing feature of these processes is that the output, or pass profile, produced on each pass explicitly contributes to the dynamics of the next one and can result in oscillations that increase in amplitude from pass-to-pass. For applications, it is necessary to have a stability theory on which to base control law design for stabilization and performance. This paper gives a reflective overview of the stability theory for linear repetitive processes with particular attention to the forms of stability possible, their characterizations, and suitability for control law design. A particular feature is that the strongest form of stability for these processes can, especially for applications, lead to difficulties in control law design for stability and performance. One alternative in such cases is also considered.
Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the ...
详细信息
Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to force the sequence of trial outputs to track a given reference signal. In many cases, it is also necessary to regulate the dynamics produced along the trials, for which this paper gives new results using the theory of linear repetitive processes and the generalized form of the Kalman-Yakubovich-Popov lemma.
The bag-of-words (BoW) model has been known as an effective method for large-scale image search and indexing. Recent work shows that the performance of the model can be further improved by using the embedding method. ...
详细信息
In networked embedded control systems (NECSs) where a number of independent control loops are closed over a shared communication network, guaranteeing a stable behavior of the closed-loop trajectories with some level ...
详细信息
ISBN:
(纸本)9781479901777
In networked embedded control systems (NECSs) where a number of independent control loops are closed over a shared communication network, guaranteeing a stable behavior of the closed-loop trajectories with some level of performance through a suitable optimal control law is an essential objective. Relying only on the controller while neglecting the switching mechanism between the associated control loops may lead to a deficient control performance. Joint design of a control law and an offline/online scheduling law can improve the control performance significantly. Using either offline scheduling or online scheduling, however, may not achieve the best reachable performance. Therefore, an event-based online scheduling approach, jointly with a control design, is proposed in this paper to improve the resulting performance. The main idea is to balance between offline scheduling and online scheduling such that the advantages of each are preserved. The proposed codesign strategy is formulated as an LMI optimization problem and evaluated through simulating a networked embedded control of a set of inverted pendulums. Notably, the proposed theory is also generally applicable to discrete-time switched linear systems.
In this paper an object-oriented (OO) Fault Detection and Isolation (FDI) method for complex systems is developed. Examples of such systems are mechatronic systems, commercial vehicles and chemical process plants. Suc...
详细信息
ISBN:
(纸本)9781467357159
In this paper an object-oriented (OO) Fault Detection and Isolation (FDI) method for complex systems is developed. Examples of such systems are mechatronic systems, commercial vehicles and chemical process plants. Such systems consist of numerous subsystems from different physical domains. Each subsystem is described by an object. The mathematical composition of these objects results in a differential algebraic equation (DAE) which describes the overall system. This DAE is automatically analyzed and transformed into a set of residual generators (RG) in integral causality which meet a given isolability specification.
State-transition models are often used in reliability analysis and one specific approach of this kind is the subject of this paper. By incorporating elements of both the deterioration process and the maintenance activ...
详细信息
State-transition models are often used in reliability analysis and one specific approach of this kind is the subject of this paper. By incorporating elements of both the deterioration process and the maintenance activities (inspections and repairs) in a semi-Markov model, a common computational platform has been created which serves as a foundation for various dependability studies that can investigate different maintenance scenarios. Having available some basic model it is possible to adjust its parameters so that it represents some hypothetical new maintenance policy and then to examine an impact which changing to the new policy has on various reliability characteristics of the system. Particularly, this paper discusses an extension of the generic adjustment algorithm to specific situations of the so-called model saturation when, as a result of tweaking the model towards higher repair frequencies, sum of repairs probabilities in the states reach the maximum value and there is no room for further increase. The general idea is to modify the model in such cases by forcing some non-zero value of a repair probability in those states where it is zero initially but in a manner that will not destroy the overall model behaviour. After theoretical presentation of the modified method its effectiveness is illustrated on practical examples. It is shown that the proposed extension allows to successfully evaluating a class of cases that has not been properly handled by the generic method and thus broadens the range of dependability studies that can be effectively evaluated.
This paper addresses the output-based control and scheduling codesign problem for control systems sharing a limited resource, especially embedded control systems (ECSs). The joint design (codesign) of a controller and...
详细信息
ISBN:
(纸本)9781467357159;9781467357159
This paper addresses the output-based control and scheduling codesign problem for control systems sharing a limited resource, especially embedded control systems (ECSs). The joint design (codesign) of a controller and a scheduler is for the purpose of improving the resulting control performance. ECSs with a set of independent linear time-invariant plants and considerable computation time delays are modeled as discrete-time switched linear systems. Based on the resulting model, the codesign problem is introduced and decomposed into a state-based control and scheduling codesign subproblem and an observer design subproblem using the separation principle. Both subproblems are eventually formulated as LMI subproblems which can be solved efficiently. Two types of observers are introduced to cope with the lack of all states: Prediction observer and current-state observer. The effectiveness of the proposed output-based codesign method is illustrated for simultaneous stabilization of three inverted pendulums.
暂无评论