1.

Record Nr.

UNINA990000545690403321

Autore

Registro italiano navale

Titolo

Regolamenti per la costruzione e la classificazione delle navi : in vigore dal 1 gennaio 1994 : sezione H : regolamentoper le saldature / R.I.NA.

Pubbl/distr/stampa

Genova : R.I.NA., 1993

Descrizione fisica

32 cm ; 6 cap.

Locazione

DININ

Collocazione

05 RR 49 145

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910741149603321

Autore

Mahalle Parikshit N.

Titolo

Predictive Analytics for Mechanical Engineering: A Beginners Guide / / by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789819948505

9819948509

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (107 pages) : illustrations

Collana

SpringerBriefs in Computational Intelligence, , 2625-3712

Disciplina

658.4038028563

Soggetti

Computational intelligence

Quantitative research

Mechanical engineering

Internet of things

Computational Intelligence

Data Analysis and Big Data

Mechanical Engineering

Internet of Things

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

1. Introduction to Predictive Analytics -- 2. Data Acquisition and Preparation -- 3. Intelligent Approaches -- 4. Predictive Maintenance -- 5. Predictive Maintenance for Mechanical Design System -- 6. Predictive Maintenance for Manufacturing -- 7. Conclusions.

Sommario/riassunto

This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.