Abstract
Concentrated Solar Power (CSP) is an alternative to the conventional energy
sources which has had significant advances nowadays. A proper predictive
maintenance program for the absorber pipes is required to detect defects in the tubes
at an early stage, in order to reduce corrective maintenance costs and increase the reliability,
availability, and safety of the concentrator solar plant. This paper presents
a novel approach based on signal processing employing neuronal network to determine
effectively the temperature of pipe, using only ultrasonic transducers. The
main novelty presented in this paper is to determine the temperature of CSP without
requiring additional sensors. This is achieved by using existing ultrasonic transducers
which is mainly designed for inspection of the absorber tubes. It can also identify
suddenly changes in the temperature of the CSP, e.g. due to faults such as corrosion,
which generate hot spots close to welds
sources which has had significant advances nowadays. A proper predictive
maintenance program for the absorber pipes is required to detect defects in the tubes
at an early stage, in order to reduce corrective maintenance costs and increase the reliability,
availability, and safety of the concentrator solar plant. This paper presents
a novel approach based on signal processing employing neuronal network to determine
effectively the temperature of pipe, using only ultrasonic transducers. The
main novelty presented in this paper is to determine the temperature of CSP without
requiring additional sensors. This is achieved by using existing ultrasonic transducers
which is mainly designed for inspection of the absorber tubes. It can also identify
suddenly changes in the temperature of the CSP, e.g. due to faults such as corrosion,
which generate hot spots close to welds
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the tenth International Conference on Management Science and Engineering Management |
| Editors | Jiuping Xu, Asaf Hajiyev, Stefan Nickel, Mitsuo Gen |
| Place of Publication | Singapore |
| Publisher | Springer Nature |
| Pages | 125-134 |
| Volume | 1 |
| ISBN (Print) | 9789811018367 |
| Publication status | Published - 31 Aug 2016 |
Publication series
| Name | Advances in intelligent systems and computing, |
|---|---|
| Volume | 502 |
Keywords
- Fault detection and diagnosis
- Electromagnetic sensors
- Macro fiber
- Wavelet transforms
- Non destructive tests
