Results 51 to 60 of about 2,770 (203)
Artificial Intelligence for Engineering, EarlyView.NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury +4 more
wiley +1 more source
High Voltage, EarlyView.ABSTRACT With the advancement of the ‘carbon peaking and carbon neutrality’ targets and the construction of new power systems, the operating environment of power equipment is becoming increasingly complex, rendering traditional operation and maintenance strategies insufficient to meet the demands of safe and stable grid operation.
Hui Song +5 more
wiley +1 more source
Aircraft lifecycle cost-benefit analysis of PHM systems [PDF]
, 2010 The use of prognostics and health management (PHM) systems can improve operational reliability by reducing delays and cancellations caused by unscheduled maintenance events and no-fault-founds (NFFs).
Hölzel, Nico +2 more
core
XRepo 2.0: a Big Data Information System for Education in Prognostics and Health Management [PDF]
, 2021 Within Industry 4.0, Prognostics and Health Management (PHM) holds great potential due to its ability to bring deep insights into the current state of manufacturing equipment.
Rafael Medrano +4 more
core +1 more source
Research and Application for Prognostics and Health Management of EMUs
机车电传动, 2018 The development of PHM (prognostics and health management) was introduced. The PHM technology system and system architecture for EMUs were put foward based on the research of the functional structure as well as operation and maintenance of EMUs. Based on
CHI Yugan
doaj
Battery Prognostics and Health Management: AI and Big Data
World Electric Vehicle JournalIn the Industry 4.0 era, integrating artificial intelligence (AI) with battery prognostics and health management (PHM) offers transformative solutions to the challenges posed by the complex nature of battery systems.
Di Li +3 more
doaj +1 more source
Applied Sciences, 2022 Extracting representative feature sets from raw signals is crucial in Prognostics and Health Management (PHM) for components’ behavior understanding. The literature proposes various methods, including signal processing in the time, frequency, and time ...
Francesca Calabrese +4 more
doaj +1 more source
Workplace Interventions to Promote Employees' Pro‐Environmental Behaviour: A Meta‐Analysis
Human Resource Management Journal, EarlyView.ABSTRACT This meta‐analysis quantifies the effectiveness of workplace interventions to promote employees' pro‐environmental behaviour. It examines potential moderating factors, reports several tests for small‐study effects and publication bias, and challenges existing theoretical assumptions by applying the AMO framework to pro‐environmental workplace ...
Franziska Brack +3 more
wiley +1 more source
The present status and future growth of maintenance in US manufacturing: results from a pilot survey
Manufacturing Review, 2016 A research study was conducted (1) to examine the practices employed by US manufacturers to achieve productivity goals and (2) to understand what level of intelligent maintenance technologies and strategies are being incorporated into these practices ...
Jin Xiaoning +6 more
doaj +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Computer Graphics Forum, EarlyView.Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source