scholarly journals Modelization and optimized speckle detection scheme in photorefractive self-referenced acousto-optic imaging

2014 ◽  
Vol 22 (9) ◽  
pp. 10682 ◽  
Author(s):  
Fabrice Devaux ◽  
Jean-Pierre Huignard ◽  
François Ramaz
Keyword(s):  
Detection Scheme ◽  
Speckle Detection

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

Extended DFE Detection Scheme in MIMO-OFDM System

2015 ◽  
Vol E98.A (7) ◽  
pp. 1549-1552 ◽  
Author(s):  
Hwan-Jun CHOI ◽  
Young-Hwan YOU ◽  
Hyoung-Kyu SONG
Keyword(s):  
Ofdm System ◽  
Detection Scheme ◽  
Mimo Ofdm

ARFIS: Adaptive-Receiver-Based Fuzzy Inference System for Diffusion- Based Molecular Communications

2020 ◽  
Vol 16 (2) ◽  
pp. 280-289
Author(s):  
Ghalib H. Alshammri ◽  
Walid K. M. Ahmed ◽  
Victor B. Lawrence
Keyword(s):  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Detection Threshold ◽  
Learning Rule ◽  
Optimal Number ◽  
Molecular Communication ◽  
Inference System ◽  
Detection Scheme ◽  
Adaptive Receiver ◽  
Detection Schemes

Background: The architecture and sequential learning rule-based underlying ARFIS (adaptive-receiver-based fuzzy inference system) are proposed to estimate and predict the adaptive threshold-based detection scheme for diffusion-based molecular communication (DMC). Method: The proposed system forwards an estimate of the received bits based on the current molecular cumulative concentration, which is derived using sequential training-based principle with weight and bias and an input-output mapping based on both human knowledge in the form of fuzzy IFTHEN rules. The ARFIS architecture is employed to model nonlinear molecular communication to predict the received bits over time series. Result: This procedure is suitable for binary On-OFF-Keying (Book signaling), where the receiver bio-nanomachine (Rx Bio-NM) adapts the 1/0-bit detection threshold based on all previous received molecular cumulative concentrations to alleviate the inter-symbol interference (ISI) problem and reception noise. Conclusion: Theoretical and simulation results show the improvement in diffusion-based molecular throughput and the optimal number of molecules in transmission. Furthermore, the performance evaluation in various noisy channel sources shows promising improvement in the un-coded bit error rate (BER) compared with other threshold-based detection schemes in the literature.

On Using Approximate Computing to Build an Error Detection Scheme for Arithmetic Circuits

2020 ◽  
Vol 36 (1) ◽  
pp. 33-46
Author(s):  
B. Deveautour ◽  
A. Virazel ◽  
P. Girard ◽  
V. Gherman
Keyword(s):  
Error Detection ◽  
Arithmetic Circuits ◽  
Approximate Computing ◽  
Detection Scheme

scholarly journals Distributed global actuator fault-detection scheme for a class of linear multi-agent systems with disturbances

2020 ◽  
Vol 53 (2) ◽  
pp. 4202-4207
Author(s):  
Anass Taoufik ◽  
Michael Defoort ◽  
Mohamed Djemai ◽  
Krishna Busawon ◽  
Juan Diego Sánchez-Torres
Keyword(s):  
Fault Detection ◽  
Actuator Fault ◽  
Multi Agent Systems ◽  
Detection Scheme ◽  
Agent Systems ◽  
Multi Agent

Effective malware detection scheme based on classified behavior graph in IIoT

2021 ◽  
pp. 102558
Author(s):  
Yi Sun ◽  
Ali Kashif Bashir ◽  
Usman Tariq ◽  
Fei Xiao
Keyword(s):  
Malware Detection ◽  
Detection Scheme
Sign in / Sign up

Export Citation Format

Share Document