Search
Search Results
-
Vision based process monitoring in wire arc additive manufacturing (WAAM)
A stable welding process is crucial to obtain high quality parts in wire arc additive manufacturing. The complexity of the process makes it...
-
Machine-learning based process monitoring for automated composites manufacturing
Automated fibre placement (AFP) is an advanced robotic manufacturing technique which can overcome the challenges of traditional composite...
-
Knowledge distillation-based information sharing for online process monitoring in decentralized manufacturing system
In advanced manufacturing, the incorporation of sensing technology provides an opportunity to achieve efficient in situ process monitoring using...
-
Process Monitoring Applied to Performance Indicators of Manufacturing Process
Intelligent manufacturing constantly uses integrated systems based on industry 4.0 technologies to evaluate process efficiency with a constant...
-
Predictive End-to-End Enterprise Process Network Monitoring
Ever-growing data availability combined with rapid progress in analytics has laid the foundation for the emergence of business process analytics....
-
Predictive Process Monitoring
Predictive Process Monitoring [29] is a branch of process mining that aims at predicting the future of an ongoing (uncompleted) process execution....
-
Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network
High-power laser-arc hybrid welding (HLAHW) has emerged as a prominent method for manufacturing medium-thick-walled steel components in modern...
-
In-process surface quality monitoring of the slender workpiece machining with digital twin approach
In-process monitoring of production quality plays a significant role in intelligent manufacturing. Both part deformation and vibration happen...
-
Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective
In the rapidly evolving landscape of manufacturing, the ability to make accurate predictions is crucial for optimizing processes. This study...
-
Data-manifold-based monitoring and anomaly diagnosis for manufacturing process
Aiming to solve the problems of the inaccurate dimension reduction of high-dimensional data and insufficient information utilization in traditional...
-
Pricing Process Part 5: Monitoring
The main challenge of price monitoring is to measure the overall success of price management in the company. The measurement of success is...
-
Use of machine learning models in condition monitoring of abrasive belt in robotic arm grinding process
Although the aspects that affect the performance and the deterioration of abrasive belt grinding are known, wear prediction of abrasive belts in the...
-
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a rapid prototy** method to a viable manufacturing tool. AM...
-
An Event-Centric Metamodel for IoT-Driven Process Monitoring and Conformance Checking
Process monitoring and conformance checking analyze process events describing process executions. However, such events are not always available or in...
-
Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges
The continuous development of metal additive manufacturing (AM) promises the flexible and customized production, spurring AM research towards end-use...
-
Declarative Process Specifications: Reasoning, Discovery, Monitoring
The declarative specification of business processes is based upon the elicitation of behavioural rules that constrain the legal executions of the...
-
The generally weighted moving average control chart for monitoring the process mean of autocorrelated observations
The statistical process control chart is primarily applied to monitor the production process or service process and detect the process shifts as soon...
-
Text-Aware Predictive Process Monitoring with Contextualized Word Embeddings
Predictive process monitoring (PPM) is the discipline of exploiting event logs of business processes to construct predictive models for anticipating...
-
In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning
In droplet-on-demand liquid metal jetting (DoD-LMJ) additive manufacturing, complex physical interactions govern the droplet characteristics, such as...
-
Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?
Predictive process monitoring (PPM) enables organizations to predict the behavior of ongoing processes, e.g., the lead time. This is of great...