An on-line algorithm of parameter estimation for dynamic system fault diagnosis is proposed in this paper. The method of ‘recursion in groups’ is put forward for the recursive estimation of system parameter. Combini...
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An on-line algorithm of parameter estimation for dynamic system fault diagnosis is proposed in this paper. The method of ‘recursion in groups’ is put forward for the recursive estimation of system parameter. Combining with the innovation detection of parameter jumping, it is particularly suitable for system fault diagnosis. The method can also be used in other areas as a way of data process. The algorithm is implemented on microcomputer with assembler language. In order to be testified, it is used to monitor the operation of a d.c. driving system. The system is composed of a d.c. motor and a generator. Faults are simulated by changing the parameters of motor such as load, flux linkage, armature inductance and resistance. Experiment results are given out and prove that the algorithm is of good quality. It requires small amount of computer memory and can estimate time-varying system parameter (including jumping parameter) accurately. In the end, we point out the further work and the possible uses of the system fault diagnosis method.
This paper presents a method for the on-line identification of the payload carried by a single-link flexible manipulator whose movement is constrained to the vertical plane. The vertical movement of the robot makes th...
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This paper presents a method for the on-line identification of the payload carried by a single-link flexible manipulator whose movement is constrained to the vertical plane. The vertical movement of the robot makes the effect of gravity not negligible, and determines therefore, the non-linear behaviour of the analysed system. The proposed estimator is based on the algebraic derivative approach in the frequency domain. The short period of time it takes for the algorithm to make an estimate, and its low computational burden make it suitable for real-time and adaptive control applications. The proposed estimator is experimentally tested in several situations carefully chosen to reproduce routine operations of the flexible manipulator.
In this paper we consider the problem of scheduling family jobs on a parallel-batching machine under on-line setting, our objective is to minimize the maximum completion time of the jobs (makespan). A batch processing...
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In this paper we consider the problem of scheduling family jobs on a parallel-batching machine under on-line setting, our objective is to minimize the maximum completion time of the jobs (makespan). A batch processing machine can handle up to B jobs simultaneously. The jobs that are processed together form a batch, and all jobs in a batch start and complete at the same time. The processing time of a batch is given by the longest processing time of any job in the batch. The jobs from different families are incompatible and thus cannot be put in the same batch. We construct our schedule irrevocably as time proceeds and do not know of the existence of any job until its arrival. We deal with the schedule problem: the bounded model in which the capacity of the machine is limited, and all jobs come from m families. We provide an on-line approximation algorithm with a worst case ratio 2.
This paper is dedicated to studying on-line routing decisions for exploring a disrupted road network in the context of humanitarian logistics using an unmanned aerial vehicle (UAV) with flying range limitations. The e...
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This paper is dedicated to studying on-line routing decisions for exploring a disrupted road network in the context of humanitarian logistics using an unmanned aerial vehicle (UAV) with flying range limitations. The exploration aims to extract accurate information for assessing damage to infrastructure and road accessibility of victim locations in the aftermath of a disaster. We propose an algorithm to conduct routing decisions involving the aerial and road network simultaneously, assuming that no information about the state of the road network is available in the beginning. Our solution approach uses different strategies to deal with the detected disruptions and refueling decisions during the exploration process. The strategies differ mainly regarding where and when the UAV is refueled. We analyze the interplay of the type and level of disruption of the network with the number of possible refueling stations and the refueling strategy chosen. The aim is to find the best combination of the number of refueling stations and refueling strategy for different settings of the network type and disruption level.
An on-line chain partitioning algorithm receives a poset, one element at a time, and irrevocably assigns the element to one of the chains in the partition. The on-line chain partitioning problem involves finding the m...
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An on-line chain partitioning algorithm receives a poset, one element at a time, and irrevocably assigns the element to one of the chains in the partition. The on-line chain partitioning problem involves finding the minimal number of chains needed by an on-line algorithm. Chrobak and S ' lusarek considered variants of the on-line chain partitioning problem in which the elements are presented as intervals and intersecting intervals are incomparable. They constructed an on-line algorithm which uses at most 3w - 2 chains, where w is the width of the interval order, and showed that this algorithm is optimal. They also considered the problem restricted to intervals of unit-length and while they showed that first-fit needs at most 2w -1 chains, over 30 years later, it remains unknown whether this is an optimal algorithm. In this paper, we improve upon previously known bounds and show that any on-line algorithm can be forced to use [3/2 w] chains to partition an order presented in the form of its unit interval representation. As a consequence, we completely solve the problem for w = 3. Lastly, we show that loosening the restriction from unit intervals to proper intervals in the bandwidth variant allows us to improve the lower bound by w/3. (c) 2023 Elsevier B.V. All rights reserved.
A novel algorithm of wavelet transform, called the on-line wavelet transform, which can be used in on-line processing of signals of an instrumental analysis, is proposed. And application of the on-line wavelet transfo...
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A novel algorithm of wavelet transform, called the on-line wavelet transform, which can be used in on-line processing of signals of an instrumental analysis, is proposed. And application of the on-line wavelet transform in de-noising of high performance liquid chromatograms was investigated. Results showed that the noise in chromatograms was cleanly removed by the method, peak position after the on-line de-noising dose not change, and the linearity of calibration curves of concentration versus peak area remained and even was improved. Quantitative determination of three mixed samples were investigated with five standard samples;the recoveries were between 94.0-105.0%.
The recently developed Extended Equal Area Criterion (EEAC) method has proved to be an accurate and extremely fast transient stability assessment method for the classical model. This model may be too rough for some pr...
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The recently developed Extended Equal Area Criterion (EEAC) method has proved to be an accurate and extremely fast transient stability assessment method for the classical model. This model may be too rough for some practical engineering uses. In this paper, the EEAC method is successfully extended to managing the two-axis generator model, i.e. the constant Eq’ model, which may be accepted by more utilities for both planning and operation purposes. The proposed EEAC(Eq’) method has been extensively tested for hundreds cases with faults at all buses in the GREEK system and a Chinese regional system; and very promising results have been obtained. This generalization of EEAC method preserves its accuracy and extremely fast speed.
A kind of online edge-coloring problems on bipartite graphs is considered. The input is a graph (typically with no edges) and a sequence of operations (edge addition and edge deletion) under the restriction that at an...
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A kind of online edge-coloring problems on bipartite graphs is considered. The input is a graph (typically with no edges) and a sequence of operations (edge addition and edge deletion) under the restriction that at any time the graph is bipartite and degree-bounded by k, where k is a prescribed integer. At the time of edge addition;the added edge can be irrevocably assigned a color or be left uncolored. No other coloring or color alteration is allowed. The problem is to assign colors as many times as possible using k colors. Two algorithms are presented: one with competitiveness coefficient 1/4 against oblivious adversaries;and one with competitiveness coefficient between 1/4 and 1/2 with the cost of requiring more random bits than the former algorithm, also against oblivious adversaries.
We study the following on-line model for set-covering: elements of a ground set of size n arrive one-by-one and with any such element ci, arrives also the name of some set Si0 containing ci and covering the most of th...
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ISBN:
(纸本)9781920682330
We study the following on-line model for set-covering: elements of a ground set of size n arrive one-by-one and with any such element ci, arrives also the name of some set Si0 containing ci and covering the most of the uncovered ground set-elements (obviously, these elements have not been yet revealed). For this model we analyze a simple greedy algorithm consisting of taking Si0 into the cover, only if ci is not already covered. We prove that the competitive ratio of this algorithm is √n and that it is asymptotically optimal for the model dealt, since no on-line algorithm can do better than √n/2. We next show that this model can also be used for solving minimum dominating set with competitive ratio bounded above by the square root of the size of the input graph. We finally deal with the maximum budget saving problem. Here, an initial budget is allotted that is destined to cover the cost of an algorithm for solving set-covering. The objective is to maximize the savings on the initial budget. We show that when this budget is at least equal to √n times the size of the optimal (off-line) solution of the instance under consideration, then the natural greedy off-linealgorithm is asymptotically optimal.
We study the following on-line model for set-covering: elements of a ground set of size n arrive one-by-one and with any such element ci, arrives also the name of some set Si0 containing ci and covering the most of th...
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ISBN:
(纸本)9781920682330
We study the following on-line model for set-covering: elements of a ground set of size n arrive one-by-one and with any such element ci, arrives also the name of some set Si0 containing ci and covering the most of the uncovered ground set-elements (obviously, these elements have not been yet revealed). For this model we analyze a simple greedy algorithm consisting of taking Si0 into the cover, only if ci is not already covered. We prove that the competitive ratio of this algorithm is √n and that it is asymptotically optimal for the model dealt, since no on-line algorithm can do better than √n/2. We next show that this model can also be used for solving minimum dominating set with competitive ratio bounded above by the square root of the size of the input graph. We finally deal with the maximum budget saving problem. Here, an initial budget is allotted that is destined to cover the cost of an algorithm for solving set-covering. The objective is to maximize the savings on the initial budget. We show that when this budget is at least equal to √n times the size of the optimal (off-line) solution of the instance under consideration, then the natural greedy off-linealgorithm is asymptotically optimal.
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