相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Failure Analysis for Hydraulic System of Heavy-Duty Machine Tool with Incomplete Failure Data
Shizheng Li et al.
APPLIED SCIENCES-BASEL (2021)
Reliability Study of Parameter Uncertainty Based on Time-Varying Failure Rates with an Application to Subsea Oil and Gas Production Emergency Shutdown Systems
Xin Zuo et al.
PROCESSES (2021)
Reliability Analysis of Dynamic Fault Tree Based on Binary Decision Diagrams for Explosive Vehicle
Guang-Jun Jiang et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2021)
Risk Analysis of Equipment Failure through Failure Mode and Effect Analysis and Fault Tree Analysis
Anand S. Relkar
JOURNAL OF FAILURE ANALYSIS AND PREVENTION (2021)
Reliability-based analysis of probability density function and failure rate of the shovel-dumper system in a surface coal mine
N. S. Harish Kumar et al.
MODELING EARTH SYSTEMS AND ENVIRONMENT (2021)
Fault prediction of drag system using artificial neural network for prevention of dragline failure
Atma Ram Sahu et al.
ENGINEERING FAILURE ANALYSIS (2020)
Performance evaluation of near real-time condition monitoring in haul trucks
Hemanth Reddy Alla et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2020)
Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model
Pushparenu Bhattacharjee et al.
SAFETY SCIENCE (2020)
Fault Tree Analysis of floating offshore wind turbines
Jichuan Kang et al.
RENEWABLE ENERGY (2019)
Machine learning in the Internet of Things: Designed techniques for smart cities
Ikram Ud Din et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Rotor fault diagnosis using a convolutional neural network with symmetrized dot pattern images
Xiaoxun Zhu et al.
MEASUREMENT (2019)
A Study on Prediction Model of Equipment Failure Through Analysis of Big Data Based on RHadoop
Jin-Hee Ku
WIRELESS PERSONAL COMMUNICATIONS (2018)
Artificial intelligence for fault diagnosis of rotating machinery: A review
Ruonan Liu et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data
Nannan Zhang et al.
SENSORS (2018)
Bearing Remaining Useful Life Prediction Based on Naive Bayes and Weibull Distributions
Nannan Zhang et al.
ENTROPY (2018)
Data mining in mining engineering: results of classification and clustering of shovels failures data
Saeid R. Dindarloo et al.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT (2017)
An overview of fault tree analysis and its application in model based dependability analysis
Sohag Kabir
EXPERT SYSTEMS WITH APPLICATIONS (2017)
A novel approach for early detection of impending voltage collapse events based on the support vector machine
Huy Nguyen Duc et al.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2017)
Activity analysis of construction equipment using audio signals and support vector machines
Chieh-Feng Cheng et al.
AUTOMATION IN CONSTRUCTION (2017)
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
Feng Jia et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Support vector machine regression analysis of LHD failures
Saeid R. Dindarloo
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT (2016)
Introduction to machine learning: k-nearest neighbors
Zhongheng Zhang
ANNALS OF TRANSLATIONAL MEDICINE (2016)
Reliability analysis and life cycle cost optimization: a case study from Indian industry
Laxman Yadu Waghmode et al.
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT (2016)
Cutting tool operational reliability prediction based on acoustic emission and logistic regression model
Hongkun Li et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2015)
Ensemble Support Vector Machine Algorithm for Reliability Estimation of a Mining Machine
Snehamoy Chatterjee et al.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2015)
Reliability centered maintenance of cone crusher: a case study
R. S. Sinha et al.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2015)
Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools
Enno Ruijters et al.
COMPUTER SCIENCE REVIEW (2015)
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
D. H. Pandya et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Comparison of two classifiers; K-nearest neighbor and artificial neural network, for fault diagnosis on a main engine journal-bearing
A. Moosavian et al.
SHOCK AND VIBRATION (2013)
Classification of Heart Disease Using K-Nearest Neighbor and Genetic Algorithm
M. Akhil Jabbar et al.
FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013 (2013)
Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks
Javier Sanz et al.
APPLIED SOFT COMPUTING (2012)
Early fault diagnosis of rotating machinery based on wavelet packets-Empirical mode decomposition feature extraction and neural network
G. F. Bin et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)
Reliability analysis of the cable system of drum shearer using the power law process model
Seyed Hadi Hoseinie et al.
INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT (2012)
The Dynamic Fault Tree Analysis of Not-Cutting Failure for MG550/1220 Electrical Haulage Shearer
Weihan Wang et al.
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 (2012)
Automated Operating Mode Classification for Online Monitoring Systems
Markus A. Timusk et al.
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME (2009)
Reliability analysis of mining equipment: A case study of a crushing plant at Jajarm Bauxite Mine in Iran
Javad Barabady et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2008)
Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing
V. Sugumaran et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)