Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature …
When put into practice in the real world, predictive maintenance presents a set of challenges
for fault detection and prognosis that are often overlooked in studies validated with data from …
for fault detection and prognosis that are often overlooked in studies validated with data from …
Emerging directions of precision agriculture and agricultural robotics
Emerging Directions of Precision Agriculture and Agricultural Robotics | SpringerLink Skip to
main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track …
main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track …
A hybrid deep learning framework for intelligent predictive maintenance of cyber-physical systems
The proliferation of cyber-physical systems (CPSs) and the advancement of the Internet of
Things (IoT) technologies have led to explosive digitization of the industrial sector. It offers …
Things (IoT) technologies have led to explosive digitization of the industrial sector. It offers …
Statistical model checking: past, present, and future
Abstract Statistical Model Checking (SMC) is a compromise between verification and testing
where executions of the systems are monitored until an algorithm from statistics can produce …
where executions of the systems are monitored until an algorithm from statistics can produce …
Fault trees from data: Efficient learning with an evolutionary algorithm
Cyber-physical systems come with increasingly complex architectures and failure modes,
which complicates the task of obtaining accurate system reliability models. At the same time …
which complicates the task of obtaining accurate system reliability models. At the same time …
Statistical Model Checking Past, Present, and Future: (Track Introduction)
LNCS 8803 - Statistical Model Checking Past, Present, and Future Page 1 Statistical Model
Checking Past, Present, and Future (Track Introduction) Kim G. Larsen and Axel Legay 1 …
Checking Past, Present, and Future (Track Introduction) Kim G. Larsen and Axel Legay 1 …
Load-aware intelligent multiprocessor scheduler for time-critical cyber-physical system applications
The cyber-physical system involves domains like physical, communication, and cyber
system. The time-critical tasks in the physical domain demand a quick computational …
system. The time-critical tasks in the physical domain demand a quick computational …
Smart Agriculture and Agricultural Robotics: Review and Perspective
The purpose of this chapter is to review the contribution of agricultural robotics to smart
agriculture through the perspective of three contributing technology pillars: agricultural …
agriculture through the perspective of three contributing technology pillars: agricultural …
[PDF][PDF] Learning Models for Cyber-Physical Systems
ARR Linard - 2019 - repository.ubn.ru.nl
Self-driving cars, manufacturing systems, smart power plants, airliners and robots of all kinds
often make the headlines. They all have in common to be unavoidable in everyday life since …
often make the headlines. They all have in common to be unavoidable in everyday life since …
[CITATION][C] Data-Driven Maintenance Planning, Scheduling, and Control
CAK Gordon - 2021