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Utilizing Principal Component Analysis for the Identification of Gas Turbine Defects
This study explores the use of the nonlinear principal component analysis (NLPCA) technique for detecting gas turbine faults. The resurgence of...
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Principal component analysis enables the design of deep learning potential precisely capturing LLZO phase transitions
The development of accurate and efficient interatomic potentials using machine learning has emerged as an important approach in materials simulations...
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Predicting porosity in wire arc additive manufacturing (WAAM) using wavelet scattering networks and sparse principal component analysis
Wire arc additive manufacturing (WAAM) is getting much research attention because of its cost-effectiveness in the metallic production of large and...
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Ultrasonic Phased Array Total Focusing Method of Imaging with Rayleigh Waves Based on Principal Component Analysis
AbstractRayleigh waves can be used to detect surface defects effectively. However, the Rayleigh wave imaging quality is often poor due to the low...
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A Hybrid Optimization Approach of Single Point Incremental Sheet Forming of AISI 316L Stainless Steel Using Grey Relation Analysis Coupled with Principal Component Analysiss
We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis (GRA) coupled with...
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Predicting the alloying element yield in a ladle furnace using principal component analysis and deep neural network
The composition control of molten steel is one of the main functions in the ladle furnace (LF) refining process. In this study, a feasible model was...
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Evaluation of Chinese traditional military settlements’ defensive capabilities via principal component analysis (PCA): a case study of coastal Wei forts in the Ming dynasty
Defensive capability is one of the essential attributes of traditional military settlements. In the Ming dynasty, coastal Wei fort was the one of the...
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Tolerability of Fe35Ni35Cr20Mn10 Multi-principal-component Alloy to Impurity Elements
Two nominal Fe35Ni35Cr20Mn10 (in at.%) multi-principal-component alloys (MCAs) were prepared in vacuum-induction furnace with industrial purity...
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Solid State Reduction Driven Synthesis of Mn Containing Multi-principal Component Alloys
In recent years, high entropy alloys (HEAs), also known as multi-principal component alloys (MPCAs) have emerged as a new and exciting class of...
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Application of Machine Learning Algorithms With and Without Principal Component Analysis for the Design of New Multiphase High Entropy Alloys
The design of high entropy alloys (HEAs) can be accelerated using machine learning (ML) algorithms. In the current study, the design parameter’s...
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Kernel Principal Component Analysis for Structural Health Monitoring and Damage Detection of an Engineering Structure Under Operational Loading Variations
This paper highlights kernel principal component analysis (KPCA) in distinguishing damage-sensitive features from the effects of liquid loading on...
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Measurement and Multi-response Optimization of Spark Erosion Machining Parameters for Titanium Alloy Using Hybrid Taguchi–Grey Relational Analysis–Principal Component Analysis Approach
This research presents the analysis of parametric optimization of spark erosion machining process of Ti-6Al-4V alloy. In spark erosion machining,...
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Current Progress in Aqueous Corrosion of Multi-Principal Element Alloys
While multi-principal element alloys (MPEAs) remain a promising class of materials owing to several attractive mechanical properties, their corrosion...
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Identifying Stochastic Frequency Response Functions Using Real-Time Hybrid Substructuring, Principal Component Analysis, and Kriging Metamodeling
Real-time hybrid substructuring (RTHS) has previously been shown to be an effective tool to quantify the effect of parametric uncertainties on the...
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Determination of the Bonding State of the Modified Surface of Polyetheretherketone by the Principal Component Analysis of X-Ray Photoelectron C 1s Spectra
AbstractPrincipal component analysis in a dual formulation is proposed to interpret changes in the C 1 s X‑ray photoelectron spectra, arising from...
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Fe30Co40Mn15Al15: A Novel Single-Phase B2 Multi-Principal Component Alloy Soft Magnet
Soft magnets play a vital role in the efficient energy conversion in a variety of important industries including wide-bandgap semiconductors,...
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Data-driven Search and Selection of Ti-containing Multi-principal Element Alloys for Aeroengine Parts
There is rapidly growing interest in Ti-containing multi-principal element alloysTi-containing multi-principal element alloys (MPEA), due to their...
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Harnessing instability for work hardening in multi-principal element alloys
The strength–ductility trade-off has long been a Gordian knot in conventional metallic structural materials and it is no exception in multi-principal...
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Unraveling dislocation-based strengthening in refractory multi-principal element alloys
Refractory multi-principal element alloys (RMPEAs) draw great interest with their superior mechanical properties and extremely high melting points,...
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Atomistic study of inverse size effect induced by interfacial plasticity in pearlitic multi-principal element alloy
Owing to the fine nano-laminated structure, the pearlitic multi-principal element alloy (PMPEA) exhibits excellent mechanical and tribological...
