Synergistic interactions of plant essential oils with antimicrobial agents: A new antimicrobial therapy
J Ju, Y Xie, H Yu, Y Guo, Y Cheng… - Critical Reviews in …, 2022 - Taylor & Francis
The problem of drug resistance of food borne pathogens is becoming more and more
serious. Although traditional antimicrobial agents have good therapeutic effects on a variety …
serious. Although traditional antimicrobial agents have good therapeutic effects on a variety …
[PDF][PDF] Anomaly detection in computer networks: A state-of-the-art review.
SWAH Baddar, A Merlo, M Migliardi - J. Wirel. Mob. Networks …, 2014 - jowua.com
The ever-lasting challenge of detecting and mitigating failures in computer networks has
become more essential than ever; especially with the enormous number of smart devices …
become more essential than ever; especially with the enormous number of smart devices …
A two-stage data-driven-based prognostic approach for bearing degradation problem
Prognostics of the remaining useful life (RUL) has emerged as a critical technique for
ensuring the safety, availability, and efficiency of a complex system. To gain a better …
ensuring the safety, availability, and efficiency of a complex system. To gain a better …
Motor bearing fault diagnosis using trace ratio linear discriminant analysis
Bearings are critical components in induction motors and brushless direct current motors.
Bearing failure is the most common failure mode in these motors. By implementing health …
Bearing failure is the most common failure mode in these motors. By implementing health …
Anomaly detection and fault prognosis for bearings
In this paper, a new bearing anomaly detection and fault prognosis method is proposed. The
method detects bearing anomalies and then predicts its remaining useful life (RUL). To …
method detects bearing anomalies and then predicts its remaining useful life (RUL). To …
Making disk failure predictions {SMARTer}!
Disk drives are one of the most commonly replaced hardware components and continue to
pose challenges for accurate failure prediction. In this work, we present analysis and …
pose challenges for accurate failure prediction. In this work, we present analysis and …
Deep Learning for HDD health assessment: An application based on LSTM
Hard disk drive failures are one of the most common causes of service downtime in data
centers. Predictive maintenance techniques have been adopted to extend the Remaining …
centers. Predictive maintenance techniques have been adopted to extend the Remaining …
Disk failure prediction in data centers via online learning
Disk failure has become a major concern with the rapid expansion of storage systems in
data centers. Based on SMART (Self-Monitoring, Analysis and Reporting Technology) …
data centers. Based on SMART (Self-Monitoring, Analysis and Reporting Technology) …
All-printed magnetically self-healing electrochemical devices
The present work demonstrates the synthesis and application of permanent magnetic
Nd2Fe14B microparticle (NMP)–loaded graphitic inks for realizing rapidly self-healing …
Nd2Fe14B microparticle (NMP)–loaded graphitic inks for realizing rapidly self-healing …
Robust neural network fault estimation approach for nonlinear dynamic systems with applications to wind turbine systems
R Rahimilarki, Z Gao, A Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a robust fault estimation approach is proposed for multi-input and multioutput
nonlinear dynamic systems on the basis of back propagation neural networks. The …
nonlinear dynamic systems on the basis of back propagation neural networks. The …