Review of condition monitoring of rolling element bearing using vibration analysis and other techniques
C Malla, I Panigrahi - Journal of Vibration Engineering & Technologies, 2019 - Springer
Background Different types of machines having rotary component are linked together in
process industries, to perform the process of manufacturing. The failure of any single …
process industries, to perform the process of manufacturing. The failure of any single …
The application of downhole vibration factor in drilling tool reliability big data analytics—A review
In the challenging downhole environment, drilling tools are normally subject to high
temperature, severe vibration, and other harsh operation conditions. The drilling activities …
temperature, severe vibration, and other harsh operation conditions. The drilling activities …
A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions
Performing condition monitoring on critical machines such as gearboxes is essential to
ensure that the machines operate reliably. However, many gearboxes are exposed to …
ensure that the machines operate reliably. However, many gearboxes are exposed to …
Multimodal anomaly detection for assistive robots
Detecting when something unusual has happened could help assistive robots operate more
safely and effectively around people. However, the variability associated with people and …
safely and effectively around people. However, the variability associated with people and …
A fault diagnosis method of industrial robot rolling bearing based on data driven and random intuitive fuzzy decision
X Sun, X Jia - IEEE Access, 2019 - ieeexplore.ieee.org
The industrial robot is a mechanized electronic device that functions as a human arm, wrist
and hand. Rolling bearings are an essential part of these flexible rotation. Due to the harsh …
and hand. Rolling bearings are an essential part of these flexible rotation. Due to the harsh …
An open set recognition methodology utilising discrepancy analysis for gear diagnostics under varying operating conditions
Historical fault data are often difficult and expensive to acquire, which can prohibit the
application of supervised learning techniques in the condition-based maintenance field …
application of supervised learning techniques in the condition-based maintenance field …
Fault detection of anti-friction bearing using adaboost decision tree
In this paper, decision tree (DT) based AdaBoost technique is used for anti-friction bearing
(AFB) fault detection. Time-domain feature extracted from raw vibration signal and …
(AFB) fault detection. Time-domain feature extracted from raw vibration signal and …
A deep learning approach towards diagnostics of bearings operating under non-stationary conditions
S Baggerohr - 2019 - search.proquest.com
Faults in bearings usually manifest as marginal defects that intensify over time, allowing for
well-informed preventative actions with early Fault Detection and Diagnosis (FDD) protocols …
well-informed preventative actions with early Fault Detection and Diagnosis (FDD) protocols …
Development of a decision support tool for day-to-day planning of operations and maintenance logistics for offshore wind farms
R Dawid - 2019 - stax.strath.ac.uk
The offshore wind industry has grown rapidly in the past decade. Hundreds of turbines are
being built in the North Sea every year. Maintenance of offshore assets is often hindered by …
being built in the North Sea every year. Maintenance of offshore assets is often hindered by …