Gabriele Patrizi

About Gabriele Patrizi

Gabriele Patrizi, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of Reliability, Availability, Maintainability, Safety, Measurements.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Considerations on the electrode spacing to electrode diameter ratio in electrical resistivity tomography (ERT): an operational approach

Improving Power Quality measurements using deep learning for disturbance classification

A deep learning method for current anomaly detection

Dynamic characterization of MEMS-based Inertial Unit under combined vibration stresses

Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, with Application to Lithium-Ion Batteries

A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-of-Health Indicator

IMS Awards: An Innovative Data-Driven Reliability Life Cycle for Complex Systems

Gabriele Patrizi Information

University

Position

DINFO -

Citations(all)

746

Citations(since 2020)

739

Cited By

91

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

27

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Gabriele Patrizi Skills & Research Interests

Reliability

Availability

Maintainability

Safety

Measurements

Top articles of Gabriele Patrizi

Towards a State of Health Definition of Lithium Batteries through Electrochemical Impedance Spectroscopy

Electronics

2024/4/11

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

Considerations on the electrode spacing to electrode diameter ratio in electrical resistivity tomography (ERT): an operational approach

IEEE Transactions on Instrumentation and Measurement

2024/3/11

Improving Power Quality measurements using deep learning for disturbance classification

2023/5/22

A deep learning method for current anomaly detection

2023

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

Dynamic characterization of MEMS-based Inertial Unit under combined vibration stresses

2023

Experimental Design and Maintenance, Towards a Decision-Making Approach Driven by Degradation Models, with Application to Lithium-Ion Batteries

2023/10/25

Loredana Cristaldi
Loredana Cristaldi

H-Index: 15

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

A Multi-Channel Deep-Learning Prediction Algorithm for Battery State-of-Health Indicator

2023/10/25

IMS Awards: An Innovative Data-Driven Reliability Life Cycle for Complex Systems

IEEE Instrumentation & Measurement Magazine

2023/10/23

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

A novel methodology for unsupervised anomaly detection in industrial electrical systems

IEEE Transactions on Instrumentation and Measurement

2023/9/25

Exponential degradation model for Remaining Useful Life estimation of electrolytic capacitors

2023/6/28

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

Analysis of noise contributions in low-cost IMUs through Allan's variance

2023/6/19

Analysis of Inertial Measurement Units performances under dynamic conditions

IEEE Transactions on Instrumentation and Measurement

2023/6/9

Temperature sensitivity analysis of a power quality meter using thermal step test

2023/6/6

Experimental analysis for the estimation of the Arrhenius's activation energy of lithium batteries

2023/5/22

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

An experimental setup for characterization of Inertial measurement unit under dynamic conditions

2023/5/22

Anomaly Detection on Industrial Electrical Systems using Deep Learning

2023/5/22

A first proposal of a data-driven reliability life cycle for complex systems

2022/10/24

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Stress testing for performance analysis of orientation estimation algorithms

IEEE Transactions on Instrumentation and Measurement

2022/10/21

Failure analysis of a smart sensor node for precision agriculture

management

2022/9

Gabriele Patrizi
Gabriele Patrizi

H-Index: 5

Lorenzo Ciani
Lorenzo Ciani

H-Index: 19

An innovative single shot power quality disturbance detector algorithm

IEEE Transactions on Instrumentation and Measurement

2022/8/26

See List of Professors in Gabriele Patrizi University(Università degli Studi di Firenze)

Co-Authors

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