Study on S-N Curve and Durability Lifetime Prediction Method of Stainless Steel Barrels Using Air Conditioner Components

2021 ◽  
Vol 45 (12) ◽  
pp. 1067-1075
Author(s):  
Seok Pyo Hong ◽  
Sim Won Chin ◽  
Jang Woo Lee ◽  
Yun Jae Kim ◽  
Ju Hee Kim
Keyword(s):  
Stainless Steel ◽  
Prediction Method ◽  
Lifetime Prediction ◽  
Air Conditioner

scholarly journals Lifetime Prediction for a Cell-on-Board (COB) Light Source Based on the Adaptive Neuro-Fuzzy Inference System (ANFIS)

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
İsmail Kıyak ◽  
Gökhan Gökmen ◽  
Gökhan Koçyiğit
Keyword(s):  
Fuzzy Inference ◽  
Prediction Method ◽  
Operating Conditions ◽  
Lifetime Prediction ◽  
Statistical Characteristics ◽  
Ambient Conditions ◽  
Inference System ◽  
Initial Task ◽  
Neuro Fuzzy ◽  
A Cell

Predicting the lifetime of a LED lighting system is important for the implementation of design specifications and comparative analysis of the financial competition of various illuminating systems. Most lifetime information published by LED manufacturers and standardization organizations is limited to certain temperature and current values. However, as a result of different working and ambient conditions throughout the whole operating period, significant differences in lifetimes can be observed. In this article, an advanced method of lifetime prediction is proposed considering the initial task areas and the statistical characteristics of the study values obtained in the accelerated fragmentation test. This study proposes a new method to predict the lifetime of COB LED using an artificial intelligence approach and LM-80 data. Accordingly, a database with 6000 hours of LM-80 data was created using the Neuro-Fuzzy (ANFIS) algorithm, and a highly accurate lifetime prediction method was developed. This method reveals an approximate similarity of 99.8506% with the benchmark lifetime. The proposed methodology may provide a useful guideline to lifetime predictions of LED-related products which can also be adapted to different operating conditions in a shorter time compared to conventional methods. At the same time, this method can be used in the life prediction of nanosensors and can be produced with the 3D technique.

Mechanism and lifetime prediction method for hot-carrier-induced degradation in lateral diffused metal-oxide-semiconductor transistors

2008 ◽  
Vol 92 (24) ◽  
pp. 243501 ◽  
Author(s):  
Jone F. Chen ◽  
Kuen-Shiuan Tian ◽  
Shiang-Yu Chen ◽  
J. R. Lee ◽  
Kuo-Ming Wu ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Prediction Method ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Lifetime Prediction ◽  
Hot Carrier

scholarly journals A Lifetime Prediction Method for LEDs Considering Real Mission Profiles

2017 ◽  
Vol 32 (11) ◽  
pp. 8718-8727 ◽  
Author(s):  
Xiaohui Qu ◽  
Huai Wang ◽  
Xiaoqing Zhan ◽  
Frede Blaabjerg ◽  
Henry Shu-Hung Chung
Keyword(s):  
Prediction Method ◽  
Lifetime Prediction

A lifetime prediction method for LEDs considering mission profiles

2016 ◽  
Author(s):  
Xiaohui Qu ◽  
Huai Wang ◽  
Xiaoqing Zhan ◽  
Frede Blaabjerg ◽  
Henry Shu-Hung Chung
Keyword(s):  
Prediction Method ◽  
Lifetime Prediction

scholarly journals 514 Simplified prediction method of fatigue limit in austenitic stainless steel

2013 ◽  
Vol 2013.88 (0) ◽  
pp. _5-14_
Author(s):  
Shogo Otobe ◽  
Daiki Shiozawa ◽  
Yoshikazu Nakai ◽  
Hideki Okae
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Fatigue Limit ◽  
Prediction Method
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