[معلومات الإصدار][C] The role of artificial intelligence (AI) in condition monitoring and diagnostic engineering management (COMADEM): a literature survey
BKN Rao - American Journal of Artificial Intelligence, 2021 - ajtaab.org
Artificial Intelligence (AI) is playing a dominant role in the 21 st century. Organizations have
more data than ever, so it's crucial to ensure that the analytics team should differentiate …
more data than ever, so it's crucial to ensure that the analytics team should differentiate …
Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data
The advances in technology involving internet of things, cloud computing and big data mean
a new perspective in the calculation of reliability, maintainability, availability and safety by …
a new perspective in the calculation of reliability, maintainability, availability and safety by …
A data-independent genetic algorithm framework for fault-type classification and remaining useful life prediction
Featured Application We propose a data-independent framework based on an ensemble of
genetic algorithms for fault-type classification and remaining useful life prediction. Abstract …
genetic algorithms for fault-type classification and remaining useful life prediction. Abstract …
Application of fuzzy data fusion theory in fault diagnosis of rotating machinery
In this article, the most common induction motor faults including bearing outer race defect,
broken rotor bar, and short-circuit of stator windings are diagnosed with high reliability. The …
broken rotor bar, and short-circuit of stator windings are diagnosed with high reliability. The …
Image processing based obstacle detection with laser measurement in railways
Intelligent transport and transportation systems are becoming indispensable systems of
today. Continuous new investments and work are being carried out to ensure safety in all …
today. Continuous new investments and work are being carried out to ensure safety in all …
Hybrid modelling for linear actuator diagnosis in absence of faulty data records
The advantages of condition based maintenance over alternative maintenance strategies
have been widely proven. Detection, diagnosis and prognostic algorithms enable the …
have been widely proven. Detection, diagnosis and prognostic algorithms enable the …
Learning constitutive equations of physical components with constraints discovery
We address the problem of learning constitutive equations of acausal physical components
in partially known physical systems. The parameters of the constitutive equations satisfy a …
in partially known physical systems. The parameters of the constitutive equations satisfy a …
Using model-based reasoning for self-adaptive control of smart battery systems
Kee** the power supply of autonomous and electrical vehicles working even in case of
faults is of uttermost importance in order to maintain the desired behavior during operation …
faults is of uttermost importance in order to maintain the desired behavior during operation …
[PDF][PDF] Classification based diagnosis: Integrating partial knowledge of the physical system
Machine learning methods based on classifiers are more robust to system complexity, but
they ignore the relations that exist in the data due to the physical laws governing the …
they ignore the relations that exist in the data due to the physical laws governing the …
Comparison between model-based and data-based methods for fault diagnosis of railway turnouts
Railway switch machines are important elements in a railway network, allowing trains to
change directions. Any failure in such safety critical equipment can induce economic losses …
change directions. Any failure in such safety critical equipment can induce economic losses …