Toward cognitive predictive maintenance: A survey of graph-based approaches
Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …
manufacturing community due to its significant potential in reducing unexpected machine …
A comprehensive survey on deep graph representation learning
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Maintenance planning is a significant part of predictive maintenance, which involves task
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
planning, resource scheduling, and prevention. With large-scale sensor systems in modern …
Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey
The proliferation of services and service interactions within microservices and cloud-native
applications, makes it harder to detect failures and to identify their possible root causes …
applications, makes it harder to detect failures and to identify their possible root causes …
Root cause analysis of failures in microservices through causal discovery
Most cloud applications use a large number of smaller sub-components (called
microservices) that interact with each other in the form of a complex graph to provide the …
microservices) that interact with each other in the form of a complex graph to provide the …
A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools
Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …
while unmanned maintenance becomes an emerging trend in such background. So far …
Achieving Knowledge-as-a-Service in IIoT-driven smart manufacturing: A crowdsourcing-based continuous enrichment method for Industrial Knowledge Graph
The rapid development of the industrial internet of things (IIoT) enlightened more tools and
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …
techniques to optimize the smart manufacturing service (SMS) paradigm, emphasizing the …
A new complex fuzzy inference system with fuzzy knowledge graph and extensions in decision making
Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
Groot: An event-graph-based approach for root cause analysis in industrial settings
For large-scale distributed systems, it is crucial to efficiently diagnose the root causes of
incidents to maintain high system availability. The recent development of microservice …
incidents to maintain high system availability. The recent development of microservice …
Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges
Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …