Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
Edwin Lughofer, Moamar Sayed-Mouchaweh

Informasi Umum

Kode

20.21.1555

Klasifikasi

658.202 - Maintenance management, Total productive maintenance

Jenis

Buku - Elektronik (E-Book)

Subjek

Maintenance Management, Industri Engineering, Dynamics,

No. Rak

Tel-U Gedung Manterawu Lantai 5 : Rak 16 B
Tel-U Purwokerto : Rak 8

Dilihat

259 kali

Informasi Lainnya

Abstraksi

In a typical predictive maintenance framework, embedded system models play a key role for producing (quality) forecasts, for indicating arising problems and faults at an early stage, or for conducting any deeper diagnosis about upcoming expected (as predicted) anomalous process behaviors in various forms. The high dynamics in today’s processes or parts of processes often has the effect that already modeled/learned dependencies become outdated, which requires system models to self-adapt over time in order to maintain their predictive performance and to expand their “knowledge” and “validation range.” This is hardly considered in the current state of the art of predictive maintenance; therefore, it is a central aspect in this book to show new trends in this direction—in fact, most of the chapters are dealing with (data-driven) modeling, optimization, and control (MOC) strategies, which possess the ability to be trainable and adaptable on the fly based on changing system behavior and nonstationary environmental influences.

Apart from this, several new applications in the context of predictive maintenance as well as combinations of MOC methodologies to successfully establish predictive maintenance are demonstrated in this book. According to the essential steps in predictive maintenance systems from early anomaly and fault detection during the process through the prognostics of eventually arising problems in the (near) future to their diagnosis and proper reactions on these (through optimization, control for repair, and self-healing), the book is structured into three main parts, where in each of them, important real-world systems and application scenarios are discussed: • Anomaly detection and localization • Prognostics and forecasting • Diagnosis, optimization, and control

• TEI4M3 - IDENTIFIKASI SISTEM DAN IMPLEMENTASI KENDALI
• - Sistem Dinamis

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Edwin Lughofer, Moamar Sayed-Mouchaweh
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	Springer
Kota	Switzerland
Tahun	2019

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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