A summary of health prognostics methods for industrial robots

Q Zhou, Y Wang, J Xu - 2019 Prognostics and System Health …, 2019 - ieeexplore.ieee.org
With the rise of intelligent manufacturing, the requirements for precision and reliability of
industrial robots are increasing. Through the industrial robot system status monitoring and …

Monitoring, diagnostics, and prognostics for robot tool center accuracy degradation

G Qiao, BA Weiss - … Manufacturing Science and …, 2018 - asmedigitalcollection.asme.org
Over time, robots degrade because of age and wear, leading to decreased reliability and
increasing potential for faults and failures; this negatively impacts robot availability …

[PDF][PDF] Разработка автоматизированных методов анализа воздействий на файлы в задаче расследования инцидентов информационной безопасности …

РВ Гибилинда - 2021 - elar.urfu.ru
Актуальность темы исследования. Вступление в силу Федерального закона № 187-ФЗ
«О безопасности критической информационной инфраструктуры Российской …

Generating Training Data for Machine Learning Applications in Manufacturing through Purposeful Failure

ESWK Wescoat - 2021 - search.proquest.com
Manufacturing unexpected downtime contributes a significant cost drain to manufacturers.
To reduce unexpected downtime, manufacturers invest in diagnostic and prognostic systems …

A simulation based approach to detect wear in industrial robots

V Sathish, S Ramaswamy… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In this paper we simulate, detect, and locate wear in industrial robots operating over long
time-periods on repetitive tasks. We simulate wear using the MATLAB robotics toolbox by …

Data-driven detection and isolation of wear-induced faults in industrial robot

S Butail, M Orkisz - 2021 - repository.iiitd.edu.in
Industrial robots are complex systems that require technical expertise for condition
monitoring and diagnostics. In small and medium scale industries, adequate skilled …

Apparatus and method to monitor robot mechanical condition

A Mahyari, N Sen, T Locher, W Gao, D Dai… - US Patent …, 2021 - Google Patents
Mechanical condition monitoring of robots can be used to detect unexpected failure of
robots. Data taken from a robot operation is processed and compared against a health base …

[PDF][PDF] Pattern Recognition of Social Contact Events from Wearable Proximity Sensor Data Using Principal Component Analysis

MK Makhasi - 2019 - wiredspace.wits.ac.za
Data from wearable proximity sensors can be used to measure and describe social contact
patterns between individuals in a household. Previous work describing contact patterns, has …