Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing
The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintenance ...
Xiaoning Jin +3 more
doaj +1 more source
To achieve the aims of reducing energy consumption and CO2 emissions, Fully Electric Vehicle (FEV) needs to reach significant market shares. However, the advent of FEVs in mass production presents new challenges to automotive manufacturers due to the ...
P. Baraldi +5 more
doaj +1 more source
Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions. [PDF]
Toothman M +6 more
europepmc +1 more source
Deep Scattering Spectrum Germaneness for Fault Detection and Diagnosis for Component-Level Prognostics and Health Management (PHM). [PDF]
Rohan A.
europepmc +1 more source
An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing. [PDF]
Wang L +5 more
europepmc +1 more source
In literature, prognostics and health management (PHM) systems have been studied by many researchers from many different engineering fields to increase system reliability, availability, safety and to reduce the maintenance cost of engineering assets ...
Vepa Atamuradov +4 more
doaj +1 more source
Smart Prognostics and Health Management (SPHM) in Smart Manufacturing: An Interoperable Framework. [PDF]
Sundaram S, Zeid A.
europepmc +1 more source
Data preprocessing-based bearing fault diagnosis in PHM: A systematic review
Preprocessing, a component of Prognostics Health Management, involves data collection, cleaning, etc., from sensor measurements to accurately assess bearing health. This step is critical for detecting incipient faults and performing effective diagnostics.
Indrawata Wardhana +3 more
doaj +1 more source
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management. [PDF]
Cofre-Martel S +2 more
europepmc +1 more source
Maintenance Decision-Making Using Intelligent Prognostics Within a Single Spare Parts Support System
Health management is the foothold of remaining useful life (RUL) prediction, known as ‘prognostics’. However, sudden failures in complex systems can lead to increased downtime and maintenance costs, ultimately diminishing system health and availability ...
Bowei Zhang +3 more
doaj +1 more source

