scholarly journals EQ-SANS Detector Distance Check with Laser Alignment Method

2021 ◽  
Author(s):  
Gergely Nagy ◽  
William Heller ◽  
Carrie Gao ◽  
Timothy Carroll ◽  
Matt Kyte
Keyword(s):  
Alignment Method ◽  
Laser Alignment ◽  
Detector Distance

A quadrant detector based laser alignment method with higher sensitivity

Optik ◽  
2012 ◽  
Vol 123 (24) ◽  
pp. 2238-2240 ◽  
Author(s):  
Xiang Hao ◽  
Cuifang Kuang ◽  
Yulong Ku ◽  
Xu Liu ◽  
Yanghui Li
Keyword(s):  
Alignment Method ◽  
Laser Alignment ◽  
Higher Sensitivity

scholarly journals PENGARUH PEMUAIAN PANAS TERHADAP KELURUSAN POROS TURBIN UAP

2020 ◽  
Vol 14 (1) ◽  
pp. 71-76
Author(s):  
Dwijaya Febriansyah ◽  
Barman Tambunan ◽  
Rudias Harmadi ◽  
Budi Noviyantoro Fadjrin
Keyword(s):  
Steam Turbine ◽  
Vertical Plane ◽  
Alignment Method ◽  
Rotating Machines ◽  
Laser Alignment ◽  
Thermal Growth ◽  
Shaft Misalignment ◽  
Shaft Alignment ◽  
Cold Condition

Sebagian besar penyebab kegagalan pada mesin-mesin rotasi termasuk turbin uap adalah poros yang berputar dalam kondisi misalignment. Pada turbin uap, panas yang merambat pada casing dapat merubah dimensi turbin uap karena adanya pemuaian (thermal growth) sehingga mempengaruhi kelurusan poros saat berputar. Nilai thermal growth ini perlu diketahui sebagai salah satu spesifikasi dalam penyetelan poros sebelum turbin beroperasi. Dalam studi ini,  thermal growth pada turbin uap 3 MW diinvestigasi dengan mengukur kelurusan poros dalam kondisi panas setelah berhenti berputar dan dingin menggunakan metode laser alignment. Hasil pengukuran menunjukkan bahwa thermal growth memberikan pengaruh terhadap kelurusan poros karena adanya selisih nilai kelurusan poros saat kondisi panas dan dingin yaitu 1.0 thous (gap) dan 2.8 thous (offset) pada bidang vertikal kemudian -1.0 thous (gap) dan -2.7 thous (offset) pada bidang horisontal.Kata kunci : Turbin uap, Thermal growth, Kelurusan porosMost of the causes of rotating machines failure including steam turbine is shaft misalignment. In the steam turbine, heat that travels to the casing can change steam turbine dimension due to thermal growth which affects the shaft alignment. Thermal growth values needs to be known as one of the specifications in shaft alignment setup. In this study, thermal growth on 3 MW steam turbine was investigated by measuring the shaft alignment in hot after shut down and cold condition using laser alignment method. Results show that thermal growth has an influence on shaft alignment due to difference of alignment values when hot and cold conditions, namely 1.0 thous (gap) and 2.8 thous (offset.) in vertical plane then -1.0 thous (gap) and -2.7 thous (offset.) in horizontal plane.Key Words : Steam Turbine, Thermal growth, Shaft alignment 

scholarly journals Research on initial alignment method of vehicle-mounted SINS based on reverse navigation

2021 ◽  
Vol 1846 (1) ◽  
pp. 012075
Author(s):  
Chen Yang ◽  
Yuanwen Cai ◽  
Chaojun Xin ◽  
Meiling Shi
Keyword(s):  
Alignment Method ◽  
Initial Alignment

scholarly journals New Results on Radioactive Mixture Identification and Relative Count Contribution Estimation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4155
Author(s):  
Bulent Ayhan ◽  
Chiman Kwan
Keyword(s):  
Deep Learning ◽  
Noise Source ◽  
Simulated Data ◽  
Nuclear Material ◽  
Machine Learning Algorithms ◽  
Detector Response ◽  
Nuclear Materials ◽  
Ratio Estimation ◽  
Analysis Software ◽  
Detector Distance

Detecting nuclear materials in mixtures is challenging due to low concentration, environmental factors, sensor noise, source-detector distance variations, and others. This paper presents new results on nuclear material identification and relative count contribution (also known as mixing ratio) estimation for mixtures of materials in which there are multiple isotopes present. Conventional and deep-learning-based machine learning algorithms were compared. Realistic simulated data using Gamma Detector Response and Analysis Software (GADRAS) were used in our comparative studies. It was observed that a deep learning approach is highly promising.

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