Home > Research > Publications & Outputs > Structural Monitoring: Decision-Support through...
View graph of relations

Structural Monitoring: Decision-Support through Multiple-Data Interpretation

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Published

Standard

Structural Monitoring: Decision-Support through Multiple-Data Interpretation. / Stalker, R.; Smith, Ian F.C.
Artificial Intelligence in Structural Engineering: Information Technology for Design, Collaboration, Maintenance, and Monitoring. ed. / Ian F.C. Smith. Berlin: Springer, 1998. p. 474-478 (Lecture Notes in Computer Science; Vol. 1454).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Stalker, R & Smith, IFC 1998, Structural Monitoring: Decision-Support through Multiple-Data Interpretation. in IFC Smith (ed.), Artificial Intelligence in Structural Engineering: Information Technology for Design, Collaboration, Maintenance, and Monitoring. Lecture Notes in Computer Science, vol. 1454, Springer, Berlin, pp. 474-478. https://doi.org/10.1007/BFb0030477

APA

Stalker, R., & Smith, I. F. C. (1998). Structural Monitoring: Decision-Support through Multiple-Data Interpretation. In I. F. C. Smith (Ed.), Artificial Intelligence in Structural Engineering: Information Technology for Design, Collaboration, Maintenance, and Monitoring (pp. 474-478). (Lecture Notes in Computer Science; Vol. 1454). Springer. https://doi.org/10.1007/BFb0030477

Vancouver

Stalker R, Smith IFC. Structural Monitoring: Decision-Support through Multiple-Data Interpretation. In Smith IFC, editor, Artificial Intelligence in Structural Engineering: Information Technology for Design, Collaboration, Maintenance, and Monitoring. Berlin: Springer. 1998. p. 474-478. (Lecture Notes in Computer Science). doi: 10.1007/BFb0030477

Author

Stalker, R. ; Smith, Ian F.C. / Structural Monitoring: Decision-Support through Multiple-Data Interpretation. Artificial Intelligence in Structural Engineering: Information Technology for Design, Collaboration, Maintenance, and Monitoring. editor / Ian F.C. Smith. Berlin : Springer, 1998. pp. 474-478 (Lecture Notes in Computer Science).

Bibtex

@inbook{9a7b8d5f63a3447bbccac83d1730ed34,
title = "Structural Monitoring: Decision-Support through Multiple-Data Interpretation",
abstract = "Decision-support for monitoring is performed using models in order to provide multiple interpretations of the same data set. This results in a space of possible interpretations of structural behaviour. Incremental addition of information for each interpretation modifies this space and helps engineers converge on realistic behaviours. Such experimentation and exploration of data interpretation leads to more rational decision-making in structural maintenance and life-cycle economies.",
author = "R. Stalker and Smith, {Ian F.C.}",
year = "1998",
month = jan,
doi = "10.1007/BFb0030477",
language = "English",
isbn = "978-3-540-64806-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "474--478",
editor = "Smith, {Ian F.C.}",
booktitle = "Artificial Intelligence in Structural Engineering",

}

RIS

TY - CHAP

T1 - Structural Monitoring: Decision-Support through Multiple-Data Interpretation

AU - Stalker, R.

AU - Smith, Ian F.C.

PY - 1998/1

Y1 - 1998/1

N2 - Decision-support for monitoring is performed using models in order to provide multiple interpretations of the same data set. This results in a space of possible interpretations of structural behaviour. Incremental addition of information for each interpretation modifies this space and helps engineers converge on realistic behaviours. Such experimentation and exploration of data interpretation leads to more rational decision-making in structural maintenance and life-cycle economies.

AB - Decision-support for monitoring is performed using models in order to provide multiple interpretations of the same data set. This results in a space of possible interpretations of structural behaviour. Incremental addition of information for each interpretation modifies this space and helps engineers converge on realistic behaviours. Such experimentation and exploration of data interpretation leads to more rational decision-making in structural maintenance and life-cycle economies.

U2 - 10.1007/BFb0030477

DO - 10.1007/BFb0030477

M3 - Chapter

SN - 978-3-540-64806-2

T3 - Lecture Notes in Computer Science

SP - 474

EP - 478

BT - Artificial Intelligence in Structural Engineering

A2 - Smith, Ian F.C.

PB - Springer

CY - Berlin

ER -