[HTML][HTML] An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion

S Gawde, S Patil, S Kumar, P Kamat… - Decision Analytics Journal, 2024 - Elsevier
Abstract Industry 4.0 denotes smart manufacturing, where rotating machines predominantly
serve as the fundamental components in production sectors. The primary duty of …

Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …

Fault diagnosis of HVAC system with imbalanced data using multi-scale convolution composite neural network

R Wu, Y Ren, M Tan, L Nie - Building Simulation, 2024 - Springer
Accurate fault diagnosis of heating, ventilation, and air conditioning (HVAC) systems is of
significant importance for maintaining normal operation, reducing energy consumption, and …

Empirical analysis of sensor type importance for data preparation of real-time operational status monitoring in fused deposition modeling 3D printers

S Baek, BS Kim, Y Lee - The International Journal of Advanced …, 2024 - Springer
The fused deposition modeling (FDM)-type three-dimensional (3D) printer is a popular
choice in manufacturing facilities due to its capability of printing complex-shaped objects …

[HTML][HTML] Online Measurement for Parameter Discovery in Fused Filament Fabrication

JR Read, JE Seppala, F Tourlomousis… - Integrating Materials and …, 2024 - Springer
To describe a new method for the automatic generation of process parameters for fused
filament fabrication (FFF) across varying machines and materials. We use an instrumented …

Non-destructive evaluation of melt-extruded part quality using in situ data

VHV Jilludimudi, D Zhou, E Rubstov… - Rapid Prototyping …, 2024 - emerald.com
Purpose This study aims to collect real-time, in situ data from polymer melt extrusion (ME)
3D printing and use only the collected data to non-destructively identify printed parts that …

The application of a low-cost microcomputer logger with pressure-temperature based sensor for coastal observations: A preliminary study

M Batubara, J Risandi, A Sufyan… - … Series: Earth and …, 2024 - iopscience.iop.org
Nearshore hydrodynamics, such as water level fluctuations, field observations play a crucial
role in understanding and monitoring the dynamics of the coastal region. The observed …

Intelligent fault detection of spark plugs using vibration signal analysis and artificial neural networks

IA Baqer - International Journal of Vehicle Noise and …, 2024 - inderscienceonline.com
The primary concern pertaining to spark plug utilisation lies in their ignition efficiency and
longevity. To address this issue, an intelligent and practical approach must be devised to …

Real-Time Data Analysis of Mechanical Sensor Networks Under the Background of Industrial Internet

M Hu - 2024 International Conference on Electrical Drives …, 2024 - ieeexplore.ieee.org
With the development of the industrial Internet, the real-time monitoring and prediction of
mechanical equipment has become more and more important. In this paper, a real-time data …

Real-time defect detection for FDM 3D printing using lightweight model deployment

WJ Hu, C Chang, S Su, J Zhang, A Zhu - 2024 - researchsquare.com
FDM 3D printing is one of the most widely used additive manufacturing methods, bringing
great convenience to production manufacturing. However, various printing defects may …