Condition monitoring and fault diagnosis of rotating machinery based on feature extraction and expression of vibration signals
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Condition monitoring and fault diagnosis of rotating machinery based on feature extraction and expression of vibration signals
Authors
Keywords
-
Journal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume -, Issue -, Pages 1-8
Publisher
IOS Press
Online
2019-04-03
DOI
10.3233/jifs-179067
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage
- (2018) Weiping Zhang et al. ENERGY
- Genetic algorithm based model for optimizing bank lending decisions
- (2017) Noura Metawa et al. EXPERT SYSTEMS WITH APPLICATIONS
- Neuroscience-Inspired Artificial Intelligence
- (2017) Demis Hassabis et al. NEURON
- DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
- (2017) Matej Moravčík et al. SCIENCE
- An interactive genetic algorithm with the interval arithmetic based on hesitation and its application to achieve customer collaborative product configuration design
- (2016) Runliang Dou et al. APPLIED SOFT COMPUTING
- Multiobjective optimization using nondominated sorting genetic algorithm-II for allocation of energy conservation and renewable energy facilities in a campus
- (2016) Ming-Der Yang et al. ENERGY AND BUILDINGS
- A combined genetic algorithm and least squares fitting procedure for the estimation of the kinetic parameters of the pyrolysis of agricultural residues
- (2016) Ana Isabel Ferreiro et al. ENERGY CONVERSION AND MANAGEMENT
- Applying genetic algorithm to a new bi-objective stochastic model for transportation, location, and allocation of hazardous materials
- (2016) Ehsan Ardjmand et al. EXPERT SYSTEMS WITH APPLICATIONS
- Kuhn–Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks
- (2016) Xin-Yuan Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Hybrid forecasting model-based data mining and genetic algorithm-adaptive particle swarm optimisation: a case study of wind speed time series
- (2016) Jianzhou Wang et al. IET Renewable Power Generation
- A hybrid genetic algorithm for waste collection problem by heterogeneous fleet of vehicles with multiple separated compartments
- (2016) Masoud Rabbani et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Comparative performance analysis of jatropha, karanja, mahua, and polanga based biodiesel engine using hybrid genetic algorithm
- (2016) Sunil Dhingra et al. Journal of Renewable and Sustainable Energy
- Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm – Extreme Learning Machine approach
- (2016) L. Cornejo-Bueno et al. RENEWABLE ENERGY
- Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs
- (2015) Fatemeh Khoshbin et al. ENGINEERING OPTIMIZATION
- A Context-Aware mHealth System for Online Physiological Monitoring in Remote Healthcare
- (2015) Weiping Zhang et al. International Journal of Computers Communications & Control
- Artificial Intelligence and Big Data
- (2013) Daniel E. O'Leary IEEE INTELLIGENT SYSTEMS
- Collaboratively built semi-structured content and Artificial Intelligence: The story so far
- (2012) Eduard Hovy et al. ARTIFICIAL INTELLIGENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now