Name
Title | ||
|---|---|---|
Identification of filter management strategy in fluid power systems under uncertainty: an interval-fuzzy parameter integer nonlinear programming method |
Abstract | ||
|---|---|---|
An interval-fuzzy integer nonlinear programming (IFINP) method is developed for the identification of filter allocation and replacement strategies in a fluid power system (FPS) under uncertainty. It can handle uncertainties expressed as interval-fuzzy values that exist in the left-and right-hand sides of constraints as well as in the objective function. The developed method is applied to a case of planning filter allocation and replacement strategies under uncertainty for a FPS with a single circuit. A piecewise linearisation approach is used to convert the nonlinear problem of FPS into a linear one. The generated fuzzy solutions will be used to analyse and interpret the multiple decision alternatives under various system conditions, and thus help decision-makers to make a compromise among the system contamination level, system cost, satisfaction degrees and system-failure risks under different contaminant ingression/generation rates. The results demonstrate that the suction and return filters can effectively reduce the contamination level associated with a low system cost, but the FPS will take lots of failure risk when the contaminant ingression/generation rate is high; and the combination of suction and pressure filters can bring the lowest system cost with more security instead. Furthermore, comparisons for the optimised solutions are made among IFINP, interval-parameter integer nonlinear programming and deterministic linear programming also. Generally, the IFINP method can effectively reduce the total design and operation cost of the filtration system when contaminants ingression/generation rate is high, and it could be extended to the lubricating system. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1080/00207720903572430 | Int. J. Systems Science |
Keywords | Field | DocType |
lowest system cost,low system cost,interval-fuzzy parameter integer nonlinear,programming method,filtration system,filter allocation,system contamination level,generation rate,system cost,filter management strategy,lubricating system,replacement strategy,fluid power system,linear program,uncertainty,hydraulic system,nonlinear programming,objective function,decision maker,contamination control,integer programming,power system | Mathematical optimization,Nonlinear system,Control theory,Fuzzy logic,Nonlinear programming,Integer programming,Linear programming,Interval arithmetic,Deterministic system (philosophy),Piecewise,Mathematics | Journal |
Volume | Issue | ISSN |
42 | 3 | 0020-7721 |
Citations | PageRank | References |
3 | 0.39 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. L. Nie | 1 | 19 | 2.25 |
| B. Hu | 2 | 3 | 0.39 |
| Y. P. Li | 3 | 92 | 12.55 |
| Zhiyuan Hu | 4 | 33 | 12.91 |
| G. H. Huang | 5 | 416 | 49.89 |