Diagnosis, in its most general meaning, is the process aimed at identifying the causes that have produced a behavior, normally anomalous, in a system of either biological or artificial nature. In medicine, the term has long been commonly used and describes the aim of identifying a disease producing certain symptoms. The concept of diagnosis can easily be extended to a more generic biological context, and has eventually been applied also to technology. In fact, in terms of a machine, it is important tracing back to the causes that have produced an anomaly, typically a fault, or possibly a design error; in any case something that, once identified, must be corrected. For simple systems, a diagnosis can be achieved manually by an expert operator.

Diagnosis in Analog Electronic Circuits, Electrical Power Systems and Smart Grids / Piccirilli, MC; Luchetta, A. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 11:(2022), pp. 2008-2008. [10.3390/electronics11132008]

Diagnosis in Analog Electronic Circuits, Electrical Power Systems and Smart Grids

Piccirilli, MC;Luchetta, A
2022

Abstract

Diagnosis, in its most general meaning, is the process aimed at identifying the causes that have produced a behavior, normally anomalous, in a system of either biological or artificial nature. In medicine, the term has long been commonly used and describes the aim of identifying a disease producing certain symptoms. The concept of diagnosis can easily be extended to a more generic biological context, and has eventually been applied also to technology. In fact, in terms of a machine, it is important tracing back to the causes that have produced an anomaly, typically a fault, or possibly a design error; in any case something that, once identified, must be corrected. For simple systems, a diagnosis can be achieved manually by an expert operator.
2022
11
2008
2008
Piccirilli, MC; Luchetta, A
File in questo prodotto:
File Dimensione Formato  
electronics-11-02008.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 158.85 kB
Formato Adobe PDF
158.85 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1283043
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact