A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

Design With Operational Amplifiers And Analog Integrated Circuits

Industrial cyber-physical systems (ICPSs) are the backbones of Industry 4.0 and as such, have become a core transdisciplinary area of research, both in industry and academia. New challenges brought about by the growing scale and complexity of systems, insufficient information exchange, and the exploitation of knowledge available have started threatening the overall system safety and stability. This work is motivated by these challenges and the strategic and practical demands of developing ICPSs for safety-critical systems such as the intelligent factory and the smart grid. It investigates the current status of research in ICPS monitoring and control, and reviews the recent advances in monitoring, fault diagnosis, and control approaches based on data-driven realization, which can take full advantage of the abundant data available from past observations and those collected online in real time. The practical requirements in the typical ICPS applications are summarized as the major issues to be addressed for the monitoring and the safety control tasks. The key challenges and the research directions are proposed as references to the future work.

Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical Systems: Basics and Beyond

Experimental and numerical study of fluidization and pressure drop of spherical and non-spherical particles in a model scale fluidized bed

Electrostatics in gas-solid fluidized beds: A review

Profiling of pulverized fuel flow in a square-shaped pneumatic conveying pipe using electrostatic sensor arrays

Investigations into the blockage of pulverized fuel pipes on coal-fired boilers using an electrostatic sensor system

Rotational speed is a key parameter for condition monitoring and control of rotating devices in many industries. This paper presents a novel measurement technique using a single electrostatic sensor coupled with autocorrelation signal processing algorithms. The characteristics of the electrostatic sensor are analyzed through Finite Element Modeling. Experimentation based performance assessment of the system for the speed measurement of shafts made of different materials, including polytetrafluoroethylene (PTFE), polyvinyl chloride (PVC) and polyamide (PA) is reported. Effect of the size of the shaft is observed and quantified. Experimental results obtained on an experimental test rig suggest the measurement system is capable of producing repeatable rotational speed measurement with a maximum error of ±0.5% over the speed range of 600 to 3000 RPM (revolution per minute). The system performs better under the conditions of higher rotational speed and larger rotors.

Performance assessment of the rotational speed measurement system based on a single electrostatic sensor

The presence of electrostatic charge in a bubbling fluidized bed influences the operation of the bed. In order to maintain an effective operation, the electrostatic charges in different positions of the bed should be monitored. In this paper a wire-mesh electrostatic sensor is introduced to reconstruct the charge distribution in a bubbling fluidized bed. The wire-mesh sensor is fabricated by two mutually perpendicular strands of insulated wires. A Finite Element Model is built to analyze the sensing characteristics of the sensor. The sensitivity distributions of each wire electrode and the whole sensor are obtained from the model, which proves that wire-mesh electrostatic sensor has a higher and more uniform sensitivity distribution than single wire sensors. Experiments were conducted in a gravity drop test rig to validate the reconstruction method. Experimental results show that the charge distribution can be reconstructed when sand particles pass through the cross section of the sensor.

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Charge distribution reconstruction in a bubbling fluidized bed using a wire-mesh electrostatic sensor

Rotational speed is a key parameter for the condition monitoring and control of rotating equipment such as generators, electromotors, centrifugal and machine tool spindles. This paper presents the principle and application of electrostatic sensors and correlation signal processing techniques to real-time measurement of rotational speed. Experimental tests were conducted on a test rig under a range of conditions. The results suggest that the operability and accuracy of the measurement system depend on a number of factors, in particular, the distance between the electrodes and the surface of the rotating equipment. The system performs better under higher rotational speed conditions as more electrostatic charge is produced on the rotating surface.

Xiangchen Qian

Papers

Profiling of pulverized fuel flow in a square-shaped pneumatic conveying pipe using electrostatic sensor arrays

Investigations into the blockage of pulverized fuel pipes on coal-fired boilers using an electrostatic sensor system

Performance assessment of the rotational speed measurement system based on a single electrostatic sensor

Charge distribution reconstruction in a bubbling fluidized bed using a wire-mesh electrostatic sensor

Rotational speed measurement using electrostatic sensors and correlation signal processing techniques