2022
DOI: 10.1016/j.csite.2022.102001
|View full text |Cite
|
Sign up to set email alerts
|

Modelling of thermocouple geometry variations for improved heat transfer monitoring in smart electronic manufacturing environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 17 publications
0
2
0
Order By: Relevance
“…Thus, we can conclude the absence of seasonality but the presence of strong trend (strong correlation among first few lag values). Moreover, we know from subject matter experts that in turbomachinery applications the thermocouple thermal inertia is less than 5 s [26]. Hence, we chose a sliding window of five samples for this temperature-measuring sensor selected as output.…”
Section: Selection Of Lookback Windowmentioning
confidence: 99%
“…Thus, we can conclude the absence of seasonality but the presence of strong trend (strong correlation among first few lag values). Moreover, we know from subject matter experts that in turbomachinery applications the thermocouple thermal inertia is less than 5 s [26]. Hence, we chose a sliding window of five samples for this temperature-measuring sensor selected as output.…”
Section: Selection Of Lookback Windowmentioning
confidence: 99%
“…The primary focus of [7] was the investigation of the impact of various thermocouple constructions on hot spot temperatures. A modelling approach employing finite element analysis was employed to quantitatively assess temperature differences.…”
Section: Introductionmentioning
confidence: 99%