Results 371 to 380 of about 101,205 (396)

Sensor fault detection and isolation for robot manipulators

2005
This paper deals with the problem of detecting and isolating sensor faults in industrial robot manipulators. To the purpose, an analytical redundancy approach has been pursued, based on a bank of state observers for residual generation. An extended H∞ approach is adopted to build the bank of residual generators; the compensation of poorly known ...
G. PAVIGLIANITI, F. CACCAVALE, MATTEI, Massimiliano, F. PIERRI   +3 more
openaire   +2 more sources

Bioinspired Injectable Self-Healing Hydrogel Sealant with Fault-Tolerant and Repeated Thermo-Responsive Adhesion for Sutureless Post-Wound-Closure and Wound Healing

Nano-Micro Letters, 2022
exaly  

Deep Residual Shrinkage Networks for Fault Diagnosis

IEEE Transactions on Industrial Informatics, 2020
Minghang Zhao, Shisheng Zhong, Xuyun Fu
exaly  

Significance of stacking fault energy in bulk nanostructured materials: Insights from Cu and its binary alloys as model systems

Progress in Materials Science, 2019
Xianghai An
exaly  

A review on the fatigue cracking of twin boundaries: Crystallographic orientation and stacking fault energy

Progress in Materials Science, 2023
exaly  

FUZZY NEURAL FAULT DETECTION AND ISOLATION

Livestock Environment VII, 18-20 May 2005, Beijing, China, 2013
null Nabila M. El-Rabaie, null Ibrahim A. Abdel Hamid   +1 more
openaire   +1 more source

Artificial intelligence for fault diagnosis of rotating machinery: A review

Mechanical Systems and Signal Processing, 2018
Ruonan Liu, Boyuan Yang, Enrico Zio
exaly  

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

IEEE Transactions on Industrial Electronics, 2015
Zhiwei Gao, Carlo Cecati, Steven X Ding
exaly  

Fault detection and isolation

2000
M. BASSEVILLE, PARISINI, Thomas
openaire   +1 more source

A review on empirical mode decomposition in fault diagnosis of rotating machinery

Mechanical Systems and Signal Processing, 2013
Yaguo Lei, Jing Lin, Ming J. Zuo
exaly