Search Results - "Diversi, Roberto"

A Multidimensional Health Indicator Based on Autoregressive Power Spectral Density for Machine Condition Monitoring by Diversi, Roberto, Speciale, Nicolò

“…Condition monitoring (CM) is the basis of prognostics and health management (PHM), which is gaining more and more importance in the industrial world. CM, which…”
Get full text

Recursive Identification of Noisy Autoregressive Models Via a Noise–Compensated Overdetermined Instrumental Variable Method by Barbieri, Matteo, Diversi, Roberto

“…The aim of this paper is to develop a new recursive identification algorithm for autoregressive (AR) models corrupted by additive white noise. The proposed…”
Get full text

Combining Wavelets and AR Identification for Condition Monitoring of Electric-cam Mechanisms Using PLCopen Readings of Motor Torque by Diversi, Roberto, Speciale, Nicolò, Barbieri, Matteo

“…This paper addresses the problem of monitoring the state of health of electric motor driven mechanisms. The proposed condition monitoring procedure belongs to…”
Get full text

Thermal Model Identification of Computing Nodes in High-Performance Computing Systems by Diversi, Roberto, Bartolini, Andrea, Benini, Luca

“…Thermal-aware design and online optimization of the cooling effort are becoming increasingly important in current and future high-performance computing (HPC)…”
Get full text

Bias-eliminating least-squares identification of errors-in-variables models with mutually correlated noises by Diversi, Roberto

“…SUMMARYThis paper proposes a bias‐eliminating least‐squares (BELS) approach for identifying linear dynamic errors‐in‐variables (EIV) models whose input and…”
Get full text

Kullback-Leibler and Rényi divergence rate for Gaussian stationary ARMA processes comparison by Grivel, Eric, Diversi, Roberto, Merchan, Fernando

“…In signal processing, ARMA processes are widely used to model short-memory processes. In various applications, comparing or classifying ARMA processes is…”
Get full text

The Frisch scheme in multivariable errors-in-variables identification by Diversi, Roberto, Guidorzi, Roberto

“…This paper concerns the identification of multivariable errors-in-variables (EIV) models, i.e. models where all inputs and outputs are assumed as affected by…”
Get full text

Robust Identification of Thermal Models for In-Production High-Performance-Computing Clusters With Machine Learning-Based Data Selection by Pittino, Federico, Diversi, Roberto, Benini, Luca, Bartolini, Andrea

“…Power and thermal management are critical components of high-performance-computing (HPC) systems, due to their high-power density and large total power…”
Get full text

A Fast Algorithm for Errors-in-Variables Filtering by Diversi, R.

“…This note concerns the optimal estimation of the input and output sequences of linear time-invariant errors-in-variables (EIV) processes. An efficient…”
Get full text

Identification of errors-in-variables models as a quadratic eigenvalue problem by Diversi, Roberto, Soverini, Umberto

“…The paper proposes a new approach for identifying linear dynamic errors-in-variables (EIV) models, whose input and output are affected by additive white noise…”
Get full text

Bias-Compensated Least Squares Identification of Distributed Thermal Models for Many-Core Systems-on-Chip by Diversi, Roberto, Tilli, Andrea, Bartolini, Andrea, Beneventi, Francesco, Benini, Luca

“…The thermal wall for many-core systems on-chip calls for advanced management techniques to maximize performance, while capping temperatures. Distributed and…”
Get full text

A unified framework for EIV identification methods when the measurement noises are mutually correlated by Söderström, Torsten, Diversi, Roberto, Soverini, Umberto

“…In this paper, the previously introduced Generalized Instrumental Variable Estimator (GIVE) is extended to the case of errors-in-variables models where the…”
Get full text

RUL prediction for automatic machines: a mixed edge-cloud solution based on model-of-signals and particle filtering techniques by Barbieri, Matteo, Nguyen, Khan T. P., Diversi, Roberto, Medjaher, Kamal, Tilli, Andrea

“…This work aims to provide useful insights into the course of action and the challenges faced by machine manufacturers when dealing with the actual application…”
Get full text

Structural monitoring of a tower by means of MEMS-based sensing and enhanced autoregressive models by Guidorzi, Roberto, Diversi, Roberto, Vincenzi, Loris, Mazzotti, Claudio, Simioli, Vittorio

“…Structural Health Monitoring (SHM) methodologies are taking advantage of the development of new families of MEMS sensors and of the available network…”
Get full text

Identification of ARX and ARARX Models in the Presence of Input and Output Noises by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…ARX (AutoRegressive models with eXogenous variables) are the simplest models within the equation error family but are endowed with many practical advantages…”
Get full text

Maximum likelihood identification of noisy input–output models by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…This work deals with the identification of errors-in-variables models corrupted by white and uncorrelated Gaussian noises. By introducing an auxiliary process,…”
Get full text

Optimal filtering of multivariate noisy AR processes by Diversi, Roberto, Guidorzi, Roberto

“…Autoregressive (AR) models play a role of paramount importance in the description of scalar and multivariate time series and find many applications in…”
Get full text

A Bias-Compensated Identification Approach for Noisy FIR Models by Diversi, R.

“…A new bias-compensated least-squares method for identifying finite impulse response (FIR) models whose input and output are affected by additive white noise is…”
Get full text

Noisy FIR Identification as a Quadratic Eigenvalue Problem by Diversi, R.

“…This correspondence describes a method for identifying FIR models in the presence of input and output noise. The proposed algorithm takes advantage of both the…”
Get full text

Identification of autoregressive models in the presence of additive noise by Diversi, Roberto, Guidorzi, Roberto, Soverini, Umberto

“…A common approach in modeling signals in many engineering applications consists in adopting autoregressive (AR) models, consisting in filters with transfer…”
Get full text