1999
DOI: 10.1002/aic.690450910
|View full text |Cite
|
Sign up to set email alerts
|

Design and upgrade of nonredundant and redundant linear sensor networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
37
0

Year Published

2003
2003
2023
2023

Publication Types

Select...
4
3
1

Relationship

1
7

Authors

Journals

citations
Cited by 48 publications
(37 citation statements)
references
References 13 publications
0
37
0
Order By: Relevance
“…• Cost (including maintenance cost) • Estimability: a term coined to designate the ability to estimate a variable using hardware or software [20]. The term is a generalization of the concepts of both observability and redundancy (section on Design of Sensor Networks for Process Fault Resolution provides more specific definitions of these terms) • Precision • Reliability and availability of the estimates of the key variables, which are function of the reliability/availability of the measurements • Gross error robustness (see [10]): this encompasses three properties:…”
Section: Measured and Key Variablesmentioning
confidence: 99%
“…• Cost (including maintenance cost) • Estimability: a term coined to designate the ability to estimate a variable using hardware or software [20]. The term is a generalization of the concepts of both observability and redundancy (section on Design of Sensor Networks for Process Fault Resolution provides more specific definitions of these terms) • Precision • Reliability and availability of the estimates of the key variables, which are function of the reliability/availability of the measurements • Gross error robustness (see [10]): this encompasses three properties:…”
Section: Measured and Key Variablesmentioning
confidence: 99%
“…Step 6: Get the expected solution if end condition (such as iteration number) is true, else go to 2) In Step 3, the instruments can be added to the measurements structure one by one to compute Δ ijkm Z .…”
Section: Redundant Instruments Placement Using Acsmentioning
confidence: 99%
“…We now illustrate the detail of steps in the level by level search for the design Case 3 (MFP3). The list of sensors in ascending order of cost is [5,3,6,1,7,2,8,4,13,17,15,20,24,18,10,22,9,11,21,14,23,16,12,19] Let the set R be defined as follows: R ¼ [1,2,3,4,5,6,7,8,9,10,11,12,13]. The depth-first tree search after exploring 500 nodes identifies [R, 14,16,17,18,19,20,22] as current best (containing 20 sensors and the current best cost is 3878, node XQ) at node 406.…”
Section: Examplementioning
confidence: 99%
“…Although very efficient in certain cases, both the equation-based method and the inverted tree search fail to perform well in realistic large-scale nonlinear problems (Nguyen and Bagajewicz 14 ). Although Bagajewicz and Sanchez 15 developed a method to achieve observability and Bagajewicz and Sanchez 16 developed a method for reliable sensor networks, it was the cost-optimal formulation, 5 that prevailed as the main paradigm. Many constraints were added later: reallocation was considered, 17 and the impact of maintenance was also studied.…”
Section: Introductionmentioning
confidence: 99%