✦ LIBER ✦

Stacking-Fault Based Microscopic Model for Platelets in Diamond

✍ Scribed by Miranda, C. R.; Antonelli, A.; Nunes, R. W.

Book ID: 121450837
Publisher: The American Physical Society
Year: 2004
Tongue: English
Weight: 369 KB
Volume: 93
Category: Article
ISSN: 0031-9007
DOI: 10.1103/PhysRevLett.93.265502

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On-line model-based fault detection and

On-line model-based fault detection and isolation for PEM fuel cell stack systems

✍ Rosich, A.; Sarrate, R.; Nejjari, F. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 920 KB

A Technique for Determining the Number o

A Technique for Determining the Number of Adjacent Intrinsic Faults in Multi-Layered Stacking Fault Configurations Using Complementary Strong and Weak Beam Electron Microscope Images

✍ Kim, H. S. ;Sheinin, S. S. 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 235 KB 👁 2 views

Diamond-like carbon coated polymer-based

Diamond-like carbon coated polymer-based targets in microscope slide format for MALDI mass spectrometry

✍ Wolfgang Winkler; Werner Balika; Peter Hausberger; Harald Kraushaar; Günter Allm 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 227 KB

A Model- Based Detection Method for Stat

A Model- Based Detection Method for Stator Core Fault in Induction Motors

✍ Wang, Xu Hong; Liu, Hui Zhi 📂 Article 📅 2012 🏛 Trans Tech Publications, Ltd. 🌐 English ⚖ 275 KB

A dislocation link length model for stra

A dislocation link length model for strain hardening in stage II of polycrystalline metals of high stacking fault energy

✍ Peter Öström; Bertil Ahlblom 📂 Article 📅 1980 🏛 Elsevier Science ⚖ 798 KB

Dynamic model-based technique for detect

Dynamic model-based technique for detecting faults in a chemical reactor

✍ Yahya Chetouani; Nordine Mouhab; Jean-Marie Cosmao; Lionel Estel 📂 Article 📅 2003 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 609 KB

## Abstract In this paper, we present a method for detecting faults that can appear in some parts of a chemical plant. This method is based on statistical information generated by the Extended Kalman Filter (EKF) technique and is designed to reveal any drift from the normal behavior of the process.