Survloss: A new survival loss function for neural networks to process censored data
M Rahat, Z Kharazian - PHM Society European Conference, 2024 - papers.phmsociety.org
This paper presents SurvLoss, a novel asymmetric partial loss and error calculation function
for survival analysis and regression, enabling the inclusion of censored samples. An …
for survival analysis and regression, enabling the inclusion of censored samples. An …
[图书][B] Advances in Intelligent Data Analysis 22
The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd
International Symposium on Intelligent Data Analysis, IDA 2024, which was held in …
International Symposium on Intelligent Data Analysis, IDA 2024, which was held in …
Implementing Deep Learning Models for Imminent Component X Failures Prediction in Heavy-Duty Scania Trucks
J Zhong, Z Wang - International Symposium on Intelligent Data Analysis, 2024 - Springer
This paper explores the application of predictive maintenance (PdM) in vehicle
management, focusing on improving performance and reliability of critical truck components …
management, focusing on improving performance and reliability of critical truck components …
Synthetic Generation of Streamed and Snapshot Data for Predictive Maintenance
A Safdari, E Frisk, O Holmer, M Krysander - IFAC-PapersOnLine, 2024 - Elsevier
Data-driven predictive maintenance of technical systems has the potential to increase
uptime and reduce maintenance costs. However, the collection of run-to-failure datasets …
uptime and reduce maintenance costs. However, the collection of run-to-failure datasets …
Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks
Abstract We use Graph Neural Networks on signature-augmented graphs derived from time
series for Predictive Maintenance. With this technique, we propose a solution to the …
series for Predictive Maintenance. With this technique, we propose a solution to the …
Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks
L Carpentier, A De Temmerman, M Verbeke - International Symposium on …, 2024 - Springer
Predictive maintenance is a crucial yet challenging task in many industrial applications. This
work explores a large repository of existing techniques and approaches to process historical …
work explores a large repository of existing techniques and approaches to process historical …
[PDF][PDF] SHAP-Driven Explainability in Survival Analysis for Predictive Maintenance Applications
M Kargar-Sharif-Abad, Z Kharazian… - … , HAII5. 0: Embracing …, 2024 - researchgate.net
In the dynamic landscape of industrial operations, ensuring machines operate without
interruption is crucial for maintaining optimal productivity levels. To avoid unexpected …
interruption is crucial for maintaining optimal productivity levels. To avoid unexpected …
Advances in Intelligent Data Analysis XXII
We are delighted to introduce the proceedings of the 22nd International Symposium on
Intelligent Data Analysis, held from April 24–26, 2024, in Stockholm, Sweden. Originating in …
Intelligent Data Analysis, held from April 24–26, 2024, in Stockholm, Sweden. Originating in …