Multi-Sensor Data Fusion for Remaining Useful Life Prediction of Machining Tools by IABC-BPNN in Dry Milling Operations

Optimizing Back Propagation Neural Network Parameters to Judge Fault Types of Ball Bearings

(2020) Bo-Lin Jian et al.   SENSORS AND MATERIALS

Remaining useful life prediction based on health index similarity

(2019) Yingchao Liu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Modifying the Hilbert-Huang transform using the nonlinear entropy-based features for early fault detection of ball bearings

(2019) Mohammad Sadegh Hoseinzadeh et al.   APPLIED ACOUSTICS

LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion

(2019) Cheng Chen et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

(2019) Zhiwen Huang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Time varying and condition adaptive hidden Markov model for tool wear state estimation and remaining useful life prediction in micro-milling

(2019) Weijian Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Hybrid whale optimization algorithm enhanced with Lévy flight and differential evolution for job shop scheduling problems

(2019) Min Liu et al.   APPLIED SOFT COMPUTING

Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions

(2019) Pradeep Kundu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

(2018) Jun Wu et al.   APPLIED SOFT COMPUTING

A Hybrid Approach to Cutting Tool Remaining Useful Life Prediction Based on the Wiener Process

(2018) Huibin Sun et al.   IEEE TRANSACTIONS ON RELIABILITY

Application of Hilbert–Huang transform for vibration signal analysis in end-milling

(2018) Agus Susanto et al.   PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY

A novel nature-inspired algorithm for optimization: Squirrel search algorithm

(2018) Mohit Jain et al.   Swarm and Evolutionary Computation

Estimation of Remaining Useful Life of Rolling Element Bearings Using Wavelet Packet Decomposition and Artificial Neural Network

(2018) Abbas Rohani Bastami et al.   Iranian Journal of Science and Technology-Transactions of Electrical Engineering

A Multisensor Fusion Method for Tool Condition Monitoring in Milling

(2018) Yuqing Zhou et al.   SENSORS

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

(2018) Zongxi Qu et al.   RENEWABLE ENERGY

A self-adaptive artificial bee colony algorithm based on global best for global optimization

(2017) Yu Xue et al.   SOFT COMPUTING

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

(2016) Linxia Liao et al.   APPLIED SOFT COMPUTING

Enhanced artificial bee colony algorithm through differential evolution

(2016) Wei-feng Gao et al.   APPLIED SOFT COMPUTING

A weighted hidden Markov model approach for continuous-state tool wear monitoring and tool life prediction

(2016) Jinsong Yu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations

(2016) Cunji Zhang et al.   SENSORS

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

In-process cutting tool remaining useful life evaluation based on operational reliability assessment

(2015) Huibin Sun et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction

(2014) Linxia Liao et al.   IEEE TRANSACTIONS ON RELIABILITY

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

(2014) A. Mosallam et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Comparative study of two soft computing techniques for the prediction of remaining useful life of cutting tools

(2013) J. Gokulachandran et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Health assessment and life prediction of cutting tools based on support vector regression

(2013) T. Benkedjouh et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Model-based and data-driven prognostics under different available information

(2013) Piero Baraldi et al.   PROBABILISTIC ENGINEERING MECHANICS

Proposal for a new theoretical model of the cutting tool's flank wear

(2013) Z. Pálmai   WEAR

CNC machine tool's wear diagnostic and prognostic by using dynamic Bayesian networks

(2011) D.A. Tobon-Mejia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

On the performance of artificial bee colony (ABC) algorithm

(2007) D. Karaboga et al.   APPLIED SOFT COMPUTING