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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
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Information on professor
ProfessorGrasso Marco Luigi
QualificationUntenured researcher legge 240/10
Belonging DepartmentDipartimento di Meccanica
Scientific-Disciplinary SectorING-IND/16 - Manufacturing Technology And Systems
Curriculum Vitae--
OrcIDhttps://orcid.org/0000-0003-3233-4198

Contacts
Professor's office hoursProfessor's office hours is not available yet
E-mailmarcoluigi.grasso@polimi.it
Professor's personal website--

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Domain-selective functional analysis of variance for supervised statistical profile monitoring of signal data (Show >>)
In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume (Show >>)
Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data (Show >>)
Characterization of in-situ measurements based on layerwise imaging in laser powder bed fusion (Show >>)
Prescriptive Data-Analytical Modeling of Laser Powder Bed Fusion Processes for Accuracy Improvement (Show >>)
Conference proceedings
In-situ monitoring of geometric accuracy in laser powder bed fusion processes (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A phase I multi-modelling approach for profile monitoring of signal data (Show >>)
In-Process Monitoring of Selective Laser Melting: Spatial Detection of Defects Via Image Data Analysis (Show >>)
Process defects and in situ monitoring methods in metal powder bed fusion: A review (Show >>)
L'additive manufacturing sale in quota (Show >>)
On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion (Show >>)
Conference proceedings
In-situ Monitoring of Metal Additive Manufacturing Processes via Spatter Signature (Show >>)
Statistical process monitoring and control methods for in-situ detection and localization of defects in laser powder bed fusion (Show >>)
Poster
In-situ monitoring of metal additive manufacturing for in-process detection and localization of defect (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
An Automated Approach to Enhance Multi-Scale Signal Monitoring of Manufacturing Processes (Show >>)
A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis (Show >>)
Using Curve-Registration Information for Profile Monitoring (Show >>)
Conference proceedings
Monitoring of Metal Additive Manufacturing Processes via In-Situ Machine Sensorization (Show >>)


List of publications and reserach products for the year 2015 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A comparison study of distribution-free multivariate SPC methods for multimode data (Show >>)
Il Monitoraggio dei processi additivi (Show >>)
Conference proceedings
Abrasive waterjet intensifier model for machine diagnostics (Show >>)
Design Performance Analysis of a Self-Organizing Map for Statistical Monitoring of Distribution-free Data Streams (Show >>)
Improved Signal Characterization via Empirical Mode Decomposition to Enhance in-line Quality Monitoring (Show >>)
Quality Monitoring of Multimode Processes via Signal Data (Show >>)


List of publications and reserach products for the year 2014 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Empirical Mode Decomposition of Pressure Signal for Health Condition Monitoring in Waterjet Cutting (Show >>)
Profile monitoring via sensor fusion: The use of PCA methods for multi-channel data (Show >>)
Conference proceedings
In-process quality characterization of grinding processes: A sensor-fusion based approach (Show >>)
19/11/2018 Area Servizi ICT v. 2.10.11 / 2.10.11