Advanced Signal Processing for Industry 4.0, Volume 1

1 Robotics Vision for Industrial Automation
The chapter provides introduction to robotic vision for industrial Automation. Vision processing is the basis on which the foundation of the Industry 4.0 is laid.
2 A practical system based on CNN-LSTM Network for Gear Fault Diagnosis
Early fault diagnosis in complex mechanical systems such as a gearbox has always been a great challenge, even with the recent development in deep neural networks. In this chapter, the CNN structure is used to extract high-level features and then the BLSTM network is used to obtain the features related to the passage of steps or long-term dependencies, and finally the connected network is used to classify for Gear Fault Diagnosis.
3 Applications of Statistical Signal Processing for Infrared Non-Destructive Testing and Evaluation
Statistical data processing approaches gained importance due to its enhanced sub-surface defect detection capabilities for inspection of various industrial material. This chapter presents the capabilities of Principal Component Thermography (PCT) for infrared non-destructive testing and evaluation applications. Further, a detailed comparison has been proposed among the adopted post-processing approaches.
4 Real-time Signal Processing for quick decision making
Real-time signal processing is an important area to control process in real-time. This chapter will deal with that.
5 The Evolution of Cyber Physical Systems for Industry
Cyber physical systems are an example of seamless integration between computers and humans. It helps to develop integration that was not possible in earlier phases of industry. The same will be discussed here
6 Industrial Internet of Things and Its Application
Communication forms the backbone of future industries and IoT is the mechanism to achieve it. How present issues of Industries can be tackled using IoT will be discussed here
7 Artificial Intelligence in Industry 4.0
Large amount of sensor data will be generated, and AI algorithms are required to work with such data. The working of these techniques will be discussed here.
8 Customer-centric health technologies in Industry 4.0
A distributed environment is required to store data in Industry 4.0 and Cloud computing is a way to achieve it. This Chapter will be dedicated to that.
9 Different Industrial data and its Protection techniques
With large amount of data generated, signal and data security becomes a major area of research. The generated data node needs to be protected from any attack. The same will be discussed here.
10 Automation and Control in Industries using sensor data
Automation is an important element in future industrial application. The same can be achieved with advanced signal processing techniques in an effective way. This will be discussed in this chapter.
11 Smart Factories with smart signal processing
Creating of smart factories is the aim behind future industrial revolution. The application of signal processing is main key to that. The same will be discussed in this Chapter.
12 Sensor Integration for Process Control and Industry 4.0
Process and organization control is again a major area of research in future industries. The same will be focused here.