An overview of time-based and condition-based maintenance in industrial application
By Rosmaini Ahmad, Shahrul Kamaruddin. Computers & industrial engineering, 2012
960 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Medical Laboratory Technology, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/7b45580d96f2b3c3fe95f960e38fad4cdf515712
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In Control and Systems Engineering
In Safety, Risk, Reliability and Quality
Citations in the corpus
- MacroBase: Analytic Monitoring for the Internet of Things (2016, background): “Anomaly detection techniques have seen major success in several vertically-oriented domains including network intrusion detection (frequently based on “fingerprint” and rules-based methods) [20, 38], various kinds of fraud detection (leveraging a variety of classifiers and techniques) [8, 39], and i”
- A review of diagnostic and prognostic capabilities and best practices for manufacturing (2016, background): “Another important, but less addressed, challenge is the creation of user-friendly PHM applications (Ahmad and Kamaruddin 2012).”
- MacroBase: Prioritizing Attention in Fast Data (2016, background): “Outlier detection techniques have seen major success in several domains including network intrusion detection [32,61], fraud detection (leveraging a variety of classifiers and techniques) [14, 64], and industrial automation and predictive maintenance [8, 56].”