Implications of the fourth industrial age on higher education
B Xing, T Marwala - arXiv preprint arXiv:1703.09643, 2017 - arxiv.org
Higher education in the fourth industrial revolution, HE 4.0, is a complex, dialectical and
exciting opportunity which can potentially transform society for the better. The fourth …
exciting opportunity which can potentially transform society for the better. The fourth …
Data‐driven fault diagnosis approaches for industrial equipment: A review
Undetected and unpredicted faults in heavy industrial machines/equipment can lead to
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …
[图书][B] Causality, correlation and artificial intelligence for rational decision making
T Marwala - 2015 - books.google.com
Causality has been a subject of study for a long time. Often causality is confused with
correlation. Human intuition has evolved such that it has learned to identify causality through …
correlation. Human intuition has evolved such that it has learned to identify causality through …
Surface roughness diagnosis in hard turning using acoustic signals and support vector machine: A PCA-based approach
During the last years, notable efforts have been made to develop reliable and industrially
applicable machining monitoring systems based on different types of sensors, especially …
applicable machining monitoring systems based on different types of sensors, especially …
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 …
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
This article presents a novel computational method for the diagnosis of broken rotor bars in
three phase asynchronous machines. The proposed method is based on Principal …
three phase asynchronous machines. The proposed method is based on Principal …
Fault classification of rolling bearing based on reconstructed phase space and Gaussian mixture model
GF Wang, YB Li, ZG Luo - Journal of Sound and Vibration, 2009 - Elsevier
Rolling bearings are common and vital elements in rotating machinery and vibration signal
is a kind of effective mean to characterize the status of rolling bearing fault and its severity. In …
is a kind of effective mean to characterize the status of rolling bearing fault and its severity. In …
A novelty detection diagnostic methodology for gearboxes operating under fluctuating operating conditions using probabilistic techniques
In this paper, a fault diagnostic methodology is developed which is able to detect, locate and
trend gear faults under fluctuating operating conditions when only vibration data from a …
trend gear faults under fluctuating operating conditions when only vibration data from a …
Sensor fusion for fault detection and classification in distributed physical processes
This paper proposes a feature extraction and fusion methodology to perform fault detection
and classification in distributed physical processes generating heterogeneous data. The …
and classification in distributed physical processes generating heterogeneous data. The …
A probabilistic description scheme for rotating machinery health evaluation
Condition-based maintenance has become more popular in recent years because of its
advantages in terms of minimizing downtime, extending lifetime, and reducing cost. This …
advantages in terms of minimizing downtime, extending lifetime, and reducing cost. This …