Lorenzo Ciani

About Lorenzo Ciani

Lorenzo Ciani, With an exceptional h-index of 32 and a recent h-index of 23 (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

Fuzzy-Based Approach to Solve Classical Risk Priority Number Drawbacks for Railway Signaling Systems

Experimental characterization of Hybrid Supercapacitor under different operating conditions using EIS Measurements

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

A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems

Exponential degradation model for Remaining Useful Life estimation of electrolytic capacitors

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

Lorenzo Ciani Information

University

Position

DINFO - - ITALY

Citations(all)

3105

Citations(since 2020)

2069

Cited By

1636

hIndex(all)

32

hIndex(since 2020)

23

i10Index(all)

86

i10Index(since 2020)

67

Email

University Profile Page

Google Scholar

Lorenzo Ciani Skills & Research Interests

Reliability

availability

maintainability

safety

measurements

Top articles of Lorenzo Ciani

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

Fuzzy-Based Approach to Solve Classical Risk Priority Number Drawbacks for Railway Signaling Systems

IEEE Intelligent Transportation Systems Magazine

2023/1

Experimental characterization of Hybrid Supercapacitor under different operating conditions using EIS Measurements

IEEE Transactions on Instrumentation and Measurement

2023/11/1

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

2023/10/25

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

Improving Power Quality measurements using deep learning for disturbance classification

2023/5/22

Modelling of a pulse‐skipping modulated DC–DC buck converter

IET Power Electronics

2023/2

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

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

Technical Committee on Fault Tolerant Measurement Systems

IEEE Instrumentation & Measurement Magazine

2022/10/3

See List of Professors in Lorenzo Ciani University(Università degli Studi di Firenze)