An Early Fault Detection Method of the Induced Draft Fan Based on Long-Short Term Memory Network and Double Warning Thresholds

Wei, Wei; Lv, You; Liu, Yizhuo; Li, Qing; Xu, Shisen; Li, Jun

doi:10.1109/ccdc55256.2022.10033743

Cited by 1 publication

(1 citation statement)

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“…By converting the original Polar vectors to Cartesian plots using fast Fourier transform-based order analysis (FFT-OA), calculations are simplified and visualization is improved. Wei et al (2022) introduce an innovative condition monitoring approach for induced-draft systems. They combine a genetic algorithm with a long-short-term memory network (GA-LSTM) to establish dynamic and static thresholds for anomaly detection.…”

Section: Introductionmentioning

confidence: 99%

Analysis, Modeling, and Simulation Solution of Induced-Draft Fan Rotor with Excessive Vibration: A Case Study

González-Barbosa,

Vázquez-Martínez,

Jurado-Pérez

et al. 2024

Ing. Inv.

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In the modern industry, computer modeling and simulation tools have become fundamental to estimating the behavior of rotodynamic systems. These computational tools allow analyzing possible modifications as well as alternative solutions to changes in design, with the aim of improving performance. Nowadays, rotodynamic systems, present in various industrial applications, require greater efficiency and reliability. Although there are deep learning methodologies for monitoring and diagnosing failures which improve these standards, the main challenge is the lack of databases for learning, a problem that can be addressed through experimental monitoring and computer analysis. This work analyzes the vibrations of two induced-draft fans with excess vibration in a thermoelectric plant in Mexico. A vibration analysis was carried out through the instrumentation and monitoring of accelerometers located at crucial points in the fans. The results of this experimental analysis were validated by computer simulation based on FEM. The results show that the operating speed of the induced-draft fans is very close to their natural frequency, causing considerable stress and potential failures due to excessive vibration. Finally, this work presents a practical solution to modify the natural frequency of induced-draft fans, so that they can function correctly at the required operating speed, thus mitigating excessive vibration issues.

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Section: Introductionmentioning

confidence: 99%