Real-World Data-Driven Machine-Learning-Based Optimal Sensor Selection Approach for Equipment Fault Detection in a Thermal Power Plant

Analysis of the causes of leakages and preventive strategies of boiler water-wall tubes in a thermal power plant

(2020) Song Xue et al.   ENGINEERING FAILURE ANALYSIS

Regression-Based Empirical Modeling of Thermal Conductivity of CuO-Water Nanofluid using Data-Driven Techniques

(2020) Rasikh Tariq et al.   INTERNATIONAL JOURNAL OF THERMOPHYSICS

Multiway PCA for Early Leak Detection in a Pipeline System of a Steam Boiler—Selected Case Studies

(2020) Miroslaw Swiercz et al.   SENSORS

Investigation on the welding-induced multiple failures in boiler water wall tube

(2020) Kexiu Liu et al.   ENGINEERING FAILURE ANALYSIS

Data analytics for leak detection in a subcritical boiler

(2020) Natarianto Indrawan et al.   ENERGY

Leakage location on water-cooling wall in power plant boiler based on acoustic array and a spherical interpolation algorithm

(2019) Shiping Zhang et al.   APPLIED THERMAL ENGINEERING

Study on refined control and prediction model of district heating station based on support vector machine

(2019) Jianjuan Yuan et al.   ENERGY

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

An intelligent hybrid technique for fault detection and condition monitoring of a thermal power plant

(2018) Milad Moradi et al.   APPLIED MATHEMATICAL MODELLING

Broken Rotor Bars Detection in Induction Motors Running at Very Low Slip Using a Hall Effect Sensor

(2018) Cleber Gustavo Dias et al.   IEEE SENSORS JOURNAL

Fault Feature Selection and Diagnosis of Rolling Bearings Based on EEMD and Optimized Elman_AdaBoost Algorithm

(2018) Qiang Fu et al.   IEEE SENSORS JOURNAL

Fault identification in PCA method during sensor condition monitoring in a nuclear power plant

(2018) Wei Li et al.   ANNALS OF NUCLEAR ENERGY

Failure Analysis of the Corroded Water Wall Tube in a 50MW Thermal Power Plant

(2018) Guohua Yang et al.   HIGH TEMPERATURE MATERIALS AND PROCESSES

Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection

(2018) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent Bearing Fault Diagnosis Based on Tacholess Order Tracking for a Variable-Speed AC Electric Machine

(2018) Jiahao Niu et al.   IEEE SENSORS JOURNAL

Sensor fault detection, isolation and reconstruction in nuclear power plants

(2018) Ting-Han Lin et al.   ANNALS OF NUCLEAR ENERGY

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

A novel plugged tube detection and identification approach for final super heater in thermal power plant using principal component analysis

(2017) Jungwon Yu et al.   ENERGY

Fault Diagnosis of a Rolling Bearing Using Wavelet Packet Denoising and Random Forests

(2017) Ziwei Wang et al.   IEEE SENSORS JOURNAL

A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants

(2016) Ahmad Shaheryar et al.   Science and Technology of Nuclear Installations

SVM and PCA based fault classification approaches for complicated industrial process

(2015) Chen Jing et al.   NEUROCOMPUTING

Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques

(2012) Hasan Abbasi Nozari et al.   NEUROCOMPUTING

Hyperbolic boiler tube leak location based on quaternary acoustic array

(2011) Liansuo An et al.   APPLIED THERMAL ENGINEERING

Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems

(2011) Karim Salahshoor et al.   SIMULATION MODELLING PRACTICE AND THEORY

Noise reduction for periodic signals using high-resolution frequency analysis

(2011) Toshio Yoshizawa et al.   EURASIP Journal on Audio Speech and Music Processing

Using SVM based method for equipment fault detection in a thermal power plant

(2010) Kai-Ying Chen et al.   COMPUTERS IN INDUSTRY