随着科学技术的发展和生产工艺的进步, 当代设备日益朝着大型化, 复杂化,
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …

The fault diagnosis of the gearbox of wind turbines is a crucial task for wind turbine
operation and maintenance. Although a convolutional neural network can extract the related …

In recent years, handwritten digits recognition has been an important area due to its
applications in several fields. This work is focusing on the recognition part of handwritten …

Deep learning, a branch of artificial intelligence, has achieved unprecedented performance
in several domains including medicine to assist with efficient diagnosis of diseases …

With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …

Intelligent condition monitoring and fault diagnosis by analyzing the sensor data can assure
the safety of machinery. Conventional fault diagnosis and classification methods usually …

A model for fine-grained vehicle classification based on deep learning is proposed to handle
complicated transportation scene. This model comprises of two parts, vehicle detection …

Handbook of deep learning applications Smart Innovation, Systems and Technologies 136
Valentina Emilia Balas Sanjiban Sekhar Roy Dharmendra Sharma Pijush Samui Editors …

Ideally, the monitoring data collected by the Structural health monitoring (SHM) system
should purely reflect the structure status. However, sensors deployed in the field can be very …

Prognostics and health management (PHM) are gradually being applied to production
management processes as industrial production is gradually undergoing a transformation …