Towards prognostics and health monitoring: The potential of fault detection by piezoresistive silicon stress sensor

2017 ◽  
Vol 74 ◽  
pp. 165-172 ◽  
Author(s):  
Alicja Palczynska ◽  
Alexandru Prisacaru ◽  
Przemyslaw Jakub Gromala ◽  
Bongtae Han ◽  
Dirk Mayer ◽  
...  
Keyword(s):  
Fault Detection ◽  
Health Monitoring ◽  
Stress Sensor ◽  
Prognostics And Health Monitoring

Prognostics and Health Monitoring of Electro-Hydraulic Systems

2017 ◽  
Author(s):  
Damoon Soudbakhsh ◽  
Anuradha M. Annaswamy
Keyword(s):  
Fault Detection ◽  
Health Monitoring ◽  
Industrial Applications ◽  
Remaining Useful Life ◽  
Maintenance Cost ◽  
Hydraulic Systems ◽  
Multiple Sources ◽  
Redundant Actuators ◽  
Component Failures ◽  
Prognostics And Health Monitoring

Electro-Hydraulic Systems (EHS) are commonly used in many industrial applications. Prediction and timely fault detection of EHS can significantly reduce their maintenance cost, and eliminate the need for redundant actuators. Current practice to detect faults in the actuators can miss failures with combination of multiple sources. Missed faults can result in sudden, unforeseen failures. We propose a fault detection technique based on Multiple Regressor Adaptive Observers (MRAO). The results were evaluated using a two-stage servo-valve model. The proposed MRAO can be used for on-line fault detection. Therefore, we propose a health monitoring approach based on the trend of the identified parameters of the system. Using the history of identified parameters, normal tear and wear of the actuator can be distinguished from the component failures to more accurately estimate the remaining useful life of the actuator.

scholarly journals Power efficiency estimation based health monitoring and fault detection of modular and reconfigurable robot

2021 ◽  
Author(s):  
Jing Yaun
Keyword(s):  
Fault Detection ◽  
Health Monitoring ◽  
Power Efficiency ◽  
Joint Torque ◽  
Robot System ◽  
Operation Conditions ◽  
Efficiency Estimation ◽  
Joint Torque Sensor ◽  
Reconfigurable Robot ◽  
Critical Components

Power efficiency degradation of machines often provides intrinsic indication of problems associated with their operation conditions. Inspired by this observation, in this thesis work, a simple yet effective power efficiency estimation base health monitoring and fault detection technique is proposed for modular and reconfigurable robot with joint torque sensor. The design of the Ryerson modular and reconfigurable robot system is first introduced, which aims to achieve modularity and compactness of the robot modules. Critical components, such as the joint motor, motor driver, harmonic drive, sensors, and joint brake, have been selected according to the requirement. Power efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on the developed modular and reconfigurable robot with joint torque sensing and a distributed control system. Experimental results have demonstrated the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document