Predictive maintenance 4.0 for chilled water system at commercial buildings: A systematic literature review

M Almobarek, K Mendibil, A Alrashdan - Buildings, 2022 - mdpi.com
Predictive maintenance plays an important role in managing commercial buildings. This
article provides a systematic review of the literature on predictive maintenance applications …

Comparative analysis of four classification algorithms for fault detection of heat pumps

P Barandier, M Mendes, AJM Cardoso - Energy and Buildings, 2024 - Elsevier
Abstract Heat Pumps (HPs) technology had a remarkable diffusion and growth in the
Heating, Ventilation, and Air-Conditioning (HVAC) field, with an increase predicted to be …

Energy systems condition monitoring: Dynamic principal component analysis application

HAN Søndergaard, HR Shaker… - 2022 IEEE 10th …, 2022 - ieeexplore.ieee.org
Faults are estimated to cause 30 percent and 40 percent of energy consumption in building
energy systems and district heating systems, respectively. It is therefore critical to detect …

Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches

A Elmouatamid, B Fricke, J Sun, PWT Pong - Energies, 2023 - mdpi.com
The air conditioning (AC) system is the primary building end-use contributor to the peak
demand for energy. The energy consumed by this system has grown as fast as it has in the …

Analysis on localization and prediction of depth chili fruits images using YOLOv5

MNS Zainudin, MSSS Azlan, LL Yin… - International …, 2022 - search.proquest.com
Chili fruits are essential ingredients that Malaysians consider essential for cooking. Adding
chili to a dish used to produce a second fiery flavour. In south-western Ecuador, one of the …

Wavelet Decomposition driven Machine Learning for Mechanical Vibration Dependent Fault Detection in Automotive Air Circular System

S Chattopadhyay, T Roy, M Midya - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The air-circular system of a vehicle depends on the proper circulation of cold air inside the
car. This system should be robust enough to circulate the cold air to maintain the desired …

[PDF][PDF] Comparison of daily rainfall forecasting using multilayer perceptron neural network model

MA Masngut, S Ismail… - … Journal of Artificial …, 2020 - pdfs.semanticscholar.org
Back in 2017, half of Pulau Pinang had submerged with floodwaters particularly in island as
well as in mainland. It had caused a lot of damages and fatal in some areas. It is needed to …

Fault Detection On Heat Pump Operational Data Using Machine Learning Algorithms

MM Rahman, R Malekian… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Heat pumps, being complex systems, are susceptible to various malfunctions. By harnessing
contemporary IoT technologies, these devices continuously transmit data which enables …

Analysis Recognition of Ghost Pepper and Cili-Padi using Mask-RCNN and YOLO.

LL Yin, MN Zainudin, WH Saad… - Przeglad …, 2023 - search.ebscohost.com
Fruit harvesting robots have made headlines in the agricultural industry in recent years. A
fruit recognition system would assist farmers or agricultural industry practitioners in …

[PDF][PDF] A multi-task model for failure identification and GPS assessment in metro trains.

PV Jadhav, S Sonkavade, SA Wagle… - AIMS Environmental …, 2024 - aimspress.com
Air and oil leaks are two of the predominant operational failures in metro trains, which can
cause severe issues and a lot of downtime. Predictive maintenance on such machinery can …