M. Grasso

发表

Process defects and in situ monitoring methods in metal powder bed fusion: a review

B. Colosimo, M. Grasso, 2017 .

On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2017 .

Automated layerwise detection of geometrical distortions in laser powder bed fusion

B. Colosimo, P. Scott, M. Grasso, 2020 .

Characterization of in-situ measurements based on layerwise imaging in laser powder bed fusion

B. Colosimo, M. Grasso, F. Caltanissetta, 2018, Additive Manufacturing.

In-process Monitoring of Selective Laser Melting: Spatial Detection of Defects via Image Data Analysis

Quirico Semeraro, Bianca Maria Colosimo, Marco Luigi Grasso, 2017 .

In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume

Bianca Maria Colosimo, Marco Luigi Grasso, Ali Gökhan Demir, 2018 .

Statistical process monitoring and control methods for in-situ detection and localization of defects in laser powder bed fusion

B. Colosimo, M. Grasso, G. Repossini, 2017 .

Process characterization and analysis of ceramic powder bed fusion

K. Wegener, B. Colosimo, M. Grasso, 2021, The International Journal of Advanced Manufacturing Technology.

Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes for Accuracy Improvement

B. Colosimo, M. Grasso, Qiang Huang, 2018, Journal of Manufacturing Science and Engineering.

Empirical mode decomposition of pressure signal for health condition monitoring in waterjet cutting

P. Pennacchi, B. Colosimo, M. Grasso, 2014, The International Journal of Advanced Manufacturing Technology.

A statistical learning method for image-based monitoring of the plume signature in laser powder bed fusion

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2019, Robotics and Computer-Integrated Manufacturing.

SUPP MATERIAL: Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

Alessandra Menafoglio, Marco Grasso, Piercesare Secchi, 2018 .

Direct laser additive manufacturing of high performance oxide ceramics: A state-of-the-art review

K. Wegener, B. Colosimo, M. Grasso, 2021 .

In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

B. Colosimo, R. Leach, M. Grasso, 2021, Measurement Science and Technology.

An Automated Approach to Enhance Multiscale Signal Monitoring of Manufacturing Processes

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2016 .

Domain‐selective functional analysis of variance for supervised statistical profile monitoring of signal data

Alessia Pini, Simone Vantini, Bianca Maria Colosimo, 2018 .

In Situ Monitoring of Powder Bed Fusion Homogeneity in Electron Beam Melting

M. Grasso, 2021, Materials.

A Comparison Study of Distribution‐Free Multivariate SPC Methods for Multimode Data

Massimo Pacella, Quirico Semeraro, Marco Grasso, 2015, Qual. Reliab. Eng. Int..

Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing

B. Colosimo, P. Secchi, M. Grasso, 2021, Technometrics.

Process monitoring of laser powder bed fusion

Eric MacDonald, Bianca Maria Colosimo, Marco Grasso, 2021 .

Robust Functional ANOVA with Application to Additive Manufacturing

Simone Vantini, Alessandra Menafoglio, Bianca Maria Colosimo, 2021, 2112.10643.

Image based statistical process monitoring via partial first order stochastic dominance

B. Colosimo, P. Tsiamyrtzis, M. Grasso, 2021, Quality Engineering.

Real-time detection of clustered events in video-imaging data with applications to additive manufacturing pdf

Hao Yan, Marco Grasso, Bianca Maria Colosimo, 2020, IISE Transactions.

Spatially weighted PCA for monitoring video image data with application to additive manufacturing

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2018, Journal of Quality Technology.

Statistical Process Monitoring of Powder Bed Fusion Processes via In-situ Video Imaging

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2018 .

A cost model for the economic evaluation of in-situ monitoring tools in metal additive manufacturing

Bianca Maria Colosimo, Simona Cavalli, Marco Luigi Grasso, 2020 .

An adaptive SPC approach for multi-sensor fusion and monitoring of time-varying processes

Bianca Maria Colosimo, Marco Luigi Grasso, Paolo Albertelli, 2013 .

A phase I multi-modelling approach for profile monitoring of signal data

Fugee Tsung, Bianca Maria Colosimo, Marco Luigi Grasso, 2017, Int. J. Prod. Res..

On-Machine Measurement, Monitoring and Control

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2020 .

A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis

Paolo Pennacchi, Steven Chatterton, Bianca Maria Colosimo, 2016 .

Preliminary Design of a Bio-Regenerative ECLSS Technological Demo Plant for Air and Water Management

Marco Luigi Grasso, Michèle Lavagna, Lucia Grizzaffi, 2008 .

Data fusion methods for statistical process monitoring and quality characterization in metal additive manufacturing

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2018 .

Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing

B. Colosimo, M. Grasso, L. Pagani, 2022, Journal of Intelligent Manufacturing.

Fingerprint analysis for machine tool health condition monitoring

B. Colosimo, M. Grasso, G. Fogliazza, 2021, IFAC-PapersOnLine.

A Novel Method for In-process Inspection of Lattice Structures via In-situ Layerwise Imaging

B. Colosimo, M. Grasso, L. Pagani, 2022, Manufacturing Letters.

Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring

B. Colosimo, M. Grasso, Federica Garghetti, 2021, Journal of Quality Technology.

In-situ monitoring in L-PBF: opportunities and challenges

Bianca Maria Colosimo, Marco Luigi Grasso, B. Colosimo, 2020 .

Using Curve-Registration Information for Profile Monitoring

Alessandra Menafoglio, Piercesare Secchi, Bianca Maria Colosimo, 2016 .

Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing

B. Colosimo, M. Gronle, M. Grasso, 2022, Journal of Quality Technology.

Design Performance Analysis of a Self-Organizing Map for Statistical Monitoring of Distribution-free Data Streams☆

Bianca Maria Colosimo, Matteo Maggioni, Marco Luigi Grasso, 2016 .

Quality Monitoring of Multimode Processes via Signal Data

Fugee Tsung, Bianca Maria Colosimo, Marco Luigi Grasso, 2015 .

Profile monitoring via sensor fusion: the use of PCA methods for multi-channel data

Massimo Pacella, Bianca Maria Colosimo, Marco Luigi Grasso, 2014 .

In-Process Quality Characterization of Grinding Processes: A Sensor-Fusion Based Approach

Elena Marzorati, Bianca Maria Colosimo, Matteo Maggioni, 2014 .

Condition Monitoring of an Ultra High Pressure Intensifier for Water Jet Cutting Machines

Massimiliano Annoni, Bianca Maria Colosimo, Marco Luigi Grasso, 2013 .

Robust functional ANOVA with application to additive manufacturing

B. Colosimo, S. Vantini, B. Palumbo, 2021, Journal of the Royal Statistical Society Series C: Applied Statistics.

Real-time tool condition monitoring in milling by means of control charts for auto-correlated data

Giovanni Moroni, Bianca Maria Colosimo, Marco Luigi Grasso, 2010 .

Statistical Process Control , Profile Monitoring , Tool Condition Monitoring

G. Moroni, B. Colosimo, M. Grasso, 2009 .

A tensor‐based hierarchical process monitoring approach for anomaly detection in additive manufacturing

B. Colosimo, M. Grasso, K. Paynabar, 2022, Qual. Reliab. Eng. Int..

Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data

B. Colosimo, P. Secchi, M. Grasso, 2018, Technometrics.