\documentclass{report} \usepackage{longtable} \usepackage{lscape} %\usepackage{xepersian} %\usepackage{bidi-longtable} %\settextfont{arial} \begin{document} \begin{landscape} \begin{longtable}{llllllllll} \multicolumn{10}{l}{title1} \\ \endfirsthead \multicolumn{10}{l}{title_c} \\ \endhead \multicolumn{10}{l}{title_cc} \endfoot \endlastfoot \hline \hline Refrence & & D & M & Data Driven & & & & & Model base \\ \hline & Case study & & & Data acquisition & Feature representation & Feature extraction & Diagnostic Prognostic \\ \hline Author{Tran & Yang 2012} & Induction motor & + & & Vibration & "Mean, RMS, shape factor" & "ICA, Kernel ICA, PCA, Kernel PCA" & W-SVM \\ \hline Author & Methane compressor & + & & "Acceleration (axial, vertical, horizontal)" & RMS & & SOM "SVM, PHM" \\ \hline Author{Ahmadzadeh & Lundberg 2013} & grinding mill liner & + & & "Metso mineral for wear measurement, Boliden mineral for affecting factors" & & PCA & FFBPNN \\ \hline Author{An et al. 2012} & Aircraft panel & & + & crack size & & & "Bayesian inference, MCMC" \\ \hline Author{An et al. 2013} & Lithium-ion battery & & + & capacity data & & & Particle filter exponential growth model \\ \hline Author & infinite plate & & + & crack size & & & Particle filter Paris model \\ \hline Author{An et al. 2015} & infinite plate & & + & crack size & & & "PF, Bayesian Method" "Huang’s model, Paris model" \\ \hline Author & infinite plate & + & & crack size & & & "NN, GP" - \\ \hline Author{Babbar et al. 2009} & & + & & Exhaust Gas Temperature & "RMS, Mean, SD" & & Double Exponential Smoothing \\ \hline Author & & & & "(EGT), Oil Pressure" & & & \\ \hline Author{Barad et al. 2012} & gas turbine engine & + & & "Vibrations, Pressures, temperatures, Speed of the rotor, Blade tip clearances, derived parameter" & "RMS levels, first order synchronous response" & & NN \\ \hline Author{Baraldi et al. 2013} & Gas Turbine blade & + & + & Degradation info. & & & "PF, bootstrap model" creep growth model \\ \hline Author{Benkedjouh et al. 2013} & Cutting tool & + & & "vibrations, force, acoustic emissions" & & "EM-PCA, ISOMAP, wavelet packet decomposition (WPD)" & SVR \\ \hline Author{Byington et al. 2008} & gas turbine engine Accessory & + & + & Pump/ valve parameter & "Mean, SD" & & double exponential smoothing \\ \hline Author{Caesarendra et al. 2010} & Methane compressor & & + & vibration & & & "PF, Bayesian estimation" \\ \hline Author{Chen et al. 2013} & & + & & "Wind speed, rotor speed, blade angel, blade motor" & & & APK-ANFIS SCADA Alarm \\ \hline Author & & & & "torque, power output" & & & \\ \hline Author{Chen et al. 2012} & Gearbox & + & & Vibration & & & ED EP \\ \hline Author{Cheng & Pecht 2009} & & + & + & "Temperature, humidity" & & & concept \\ \hline Author{Choi et al. 2010} & & & + & Crack size & & & Bayesian \\ \hline Author{Coppe et al. 2012} & "Finite plate, plate with hole" & & + & Crack size & & & Bayesian Paris model \\ \hline Author{Daigle & Goebel 2011} & & & + & Crack size & & & PF \\ \hline Author{El-Koujok et al. 2014} & Continuous-Flow Stirred-Tank Reactor (CFSTR) & + & & "inlet feed stream, temperature" & & Takagi–Sugeno & Multiple Sensor Fault Detection and Isolation \\ \hline Author & & & & & & & (MSFDI) \\ \hline Author{Filev & Tseng 2006} & & & + & & & & "fuzzy k-Nearest Neighbor clustering, Gaussian" \\ \hline Author & & & & & & & Mixture Model \\ \hline Author{Garga et al. n.d.} & Helicopter Gearbox & + & + & Vibration & "RMS, kurtosis, crest factor, enveloping demodulation" & & "NN, Expert sys, fuzzy logic" \\ \hline Author{Gebraeel et al. 2004} & Bearing & + & & Vibration & RMS & & Fuzzy C-mean clustering NN \\ \hline Author{Greitzer et al. 1999} & Gas turbine & + & & "Temperature, pressure, leakage" & & & NN Linear regression \\ \hline Author{Gu et al. 2008} & Ceramic & + & & "Temperature, humidity, bias" & & & "Regression residual detection and prediction analysis (RRDP), AR, ARIMA" \\ \hline Author{He et al. 2006} & helicopter rotor & + & & "Vibration, torque, speed, temperature" & & & hidden semi-Markov model (HSMM) \\ \hline Author{He et al. 2011} & lithium-ion batteries & + & & Capacity & & & "NLSR, EKF" \\ \hline Author{Heng et al. 2009} & Centrifugal pump & + & & Vibration & RMS & & "FFNN, Kaplan–Meier (KM)" \\ \hline Author{Javed et al. 2014} & Multiple benchmark test & + & & Multiple input & & & SWELM \\ \hline Author{Javed et al. 2013} & Turbo fan engine & + & & & 26 features & & "SWELM, S-MEFC" \\ \hline Author{Kumar et al. 2008} & Electronics product & + & + & "Temperature, humidity, fan speed, …" & & & FMMEA \\ \hline Author{Lee et al. 2006} & roller bearing & & & "Vibration, oil" & "RMS, Kurtosis" & & PHM \\ \hline Author{Lee et al. 2014} & alternator component & + & & "Vibration, energy, voltage, " & "54 feature: RMS, …" & & "Logistic regression, SOM" \\ \hline Author & airport chiller & + & & "OPC data, vibration" & & & "Wavelet Packet Analysis (WPA), Gaussian" \\ \hline Author & & & & & & & Mixture Model (GMM) \\ \hline Author & spindle bearing & + & & Vibration & & & SOM \\ \hline Author & Engine & + & & "Operating, event, environmental, condition data" & & & "ARMA, BBN, fuzzy logic" \\ \hline Author{Li et al. 2013} & Material fatigue & + & & Relative voltage & & & "enhanced fuzzy-filtered neural network, (EFFNN)" \\ \hline Author{Li & Nilkitsaranont 2009} & Gas turbine & + & & "Temperature, pressure, fuel flow" & & & Quadratic and linear regression \\ \hline Author{Lim & Mba 2014} & Helicopter gearbox bearings & + & & TRGB grease lubricated & & & Switching Kalman filter(SKF) \\ \hline Author{Liu et al. 2012} & TRGB is grease lubricated & + & & Capacity & & & "Fusion NN, NF, recurrent" \\ \hline Author & & & & & & & "neural fuzzy (RNF), PF" \\ \hline Author{Liu et al. 2010} & Lithium-ion Batteries & + & & capacity & & & adaptive recurrent neural \\ \hline Author & & & & & & & network (ARNN) \\ \hline Author{Liu et al. 2013} & aircraft & + & & "Temp., press., core speed, fuel air ratio, …" & & & "Fusion, Exponential" \\ \hline Author & gas turbine engine & & & & & & "Function, …" \\ \hline Author{Liu & Dong 2012} & hydraulic pump & + & & "Acceleration, flow discharge" & & & HSMM by using sequential Monte Carlo (SMC) \\ \hline Author{Lu et al. 2014} & grinder & + & & "Force, acoustic " & & Wavelet transform & artificial immune algorithm \\ \hline Author{Medjaher et al. 2009} & pulley & & + & & & & Dynamic Bayesian Networks (DBN) exponential \\ \hline Author{Miao et al. 2013} & lithium-ion battery & + & & capacity & & & unscented particle filter (UPF) \\ \hline Author{Moghaddass & Zuo 2014} & turbofan engines & + & & & & PCA & NHCTHSMP \\ \hline Author{Mohanty et al. 2009} & aluminum alloy & & + & crack & & & Gaussian Process Bayesian Framework \\ \hline Author & & & & length & & & \\ \hline Author{Niu & Yang 2010} & methane compressor & + & & vibration & "RMS, envelop" & "SOM NN, wavelet decomposition" & "DSR, LS SVR" \\ \hline Author{Niu et al. 2010} & Elevator motor & + & & "Vibration, current" & "14 feature: Mean, RMS, …" & & "SVM, LDA RFA, ART-KNN" "DSR," \\ \hline Author & & & & & & & LS SVM \\ \hline Author{M. E. Orchard & Vachtsevanos 2007} & Planetary carrier plate & & + & Crack length & & & Particle filter Paris model \\ \hline Author{M. Orchard & Vachtsevanos 2007} & Turbine Engine & & + & Crack length & & & Particle filter \\ \hline Author{Roemer & Kacprzynski 2000} & Turbine blade & & & & & & NN (Kohonen \\ \hline Author & & & & & & & Map) \\ \hline Author{Roemer et al. 2007} & Turbine engine and bearing & + & + & "Spall growth, vibro-acoustic " & "RMS, Kurtosis" & FFT & Progression model Spall initiation model \\ \hline Author{Safizadeh & Latifi 2014} & Bearing & + & & "Acceleration, load signal" & "10 parameter: RMS, Kurtosis, skewness, …" & & K-Nearest Neighbor (KNN) \\ \hline Author{Sankavaram et al. 2009} & Lithium-ion battery & + & + & "Capacity, temp. CPU load, …" & & Wavelet transform & SVM "NN, time series, Markov model" Randles circuit \\ \hline Author{Sarkar et al. 2011} & aircraft gas turbine & + & & "Pressure, temp., speed, …" & & & KNN \\ \hline Author & engines & & & & & & \\ \hline Author{Si et al. 2012} & "Inertial Navigation Plat-form, Aluminum" & & + & "Drift degradation, crack length" & & & Nonlinear diffusion \\ \hline Author & Alloy & & & & & & \\ \hline Author{Silva et al. 2014} & PEM fuel cell & + & & Voltage & & & ANFIS \\ \hline Author{Son et al. 2013} & automotive batteries & & + & Degradation signal & & & "DSPM, RDSPM, JPM" \\ \hline Author{Sotiris & Pecht 2007} & Electronic product & + & & & & PCA & SVC SVR \\ \hline Author{Sun et al. 2012} & gas turbine & & + & degradation & & & Monte-Carlo State space model \\ \hline Author{Sun et al. 2009} & Repairable system & & + & & & & Analytic Model for Interactive Failure (AMIF) \\ \hline Author{Test 2012} & Lithium-ion battery & & + & State of health (EOH ) & & & Gaussian process regression \\ \hline Author{Tian et al. 2011} & wind turbine components & + & & "Age value, condition monitoring" & & & ANN \\ \hline Author{Tobon-Mejia et al. 2012} & CNC machine tool & + & + & "Acceleration, AE emission" & & & k-means MoG-HMMs and DBN \\ \hline Author{Wang et al. 2013} & & & + & Two fatigue crack length & & & bivariate gamma process \\ \hline Author{Wang et al. 2014} & pneumatic conveying & + & & "capacitive signals, electrostatic signals" & "Mean, RMS" & & ANFIS \\ \hline Author & line & & & & & & \\ \hline Author{Xu et al. 2014} & Aircraft Engines & + & + & "Temp., pressure, speed, …" & & & "SVM. RNN, " "BM, DSR" \\ \hline Author{Xu & Xu 2011} & avionics system & + & + & Time to failure data & & & FMMEA "SVM, FNN, ARMA" \\ \hline Author{Yan et al. 2013} & Wind power & + & & Mean wind farm output & & & "ORVM, GA-ANN" \\ \hline Author{Zhao et al. 2014} & Li-ion batteries & + & & Remaining charge cycle (RCC) & & & Markov model \\ \hline Author{Zio & Di Maio 2010} & Nuclear power plant & + & & Temperature & & & Fuzzy logic modeling \\ \end{longtable} \end{landscape} \end{document}