Anomaly detection and prediction of high‐tension bolts by using strain of tower shell

Funding information National Energy Department Organization Abstract In this study, an anomaly detection and prediction method for high-tension bolts is proposed by using the measured strain of tower shell. The finite element models (FEMs) for the high-tension bolts and tower-top are built and validated with measurement data. An algorithm of anomaly detection and prediction is then developed by applying Mahalanobis‐Taguchi system. The threshold of abnormal condition for high-tension bolts is proposed, and the formula for the prediction of remaining axial bolt force is derived by using the strain of tower shell obtained from the FEM model. Finally, onsite measurements are performed at Taikoyama wind farm to investigate the relationship between the strain of tower shell and the remaining axial bolt force. It is found that the proposed threshold based on the FEM model succeeds in detecting abnormal bolt by the Mahalanobis‐Taguchi system, and the proposed formula accurately predicts the remaining axial bolt force.

[1]  Seoung Bum Kim,et al.  A Review and Analysis of the Mahalanobis—Taguchi System , 2003, Technometrics.

[2]  J. Douglas Barrett,et al.  Taguchi's Quality Engineering Handbook , 2007, Technometrics.

[3]  P. Schaumann.  MEASURING FATIGUE LOADS OF BOLTS IN RING FLANGE CONNECTIONS , .

[4]  Rajesh Jugulum,et al.  The Mahalanobis-Taguchi strategy : a pattern technology system , 2002 .

[5]  Dongsheng Li,et al.  Detection and location of bolt group looseness using ultrasonic guided wave , 2019 .

[6]  Michael D. Todd,et al.  An assessment of modal property effectiveness in detecting bolted joint degradation: theory and experiment , 2004 .

[7]  Vince Adams,et al.  Building Better Products with Finite Element Analysis , 1998 .

[8]  Yozo Fujino,et al.  Quantitative health monitoring of bolted joints using piezoceramic actuator-sensor , 2003, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[9]  Takeshi Ishihara,et al.  A study of action point correction factor for L‐type flanges of wind turbine towers , 2018 .

[10]  Jin-Hak Yi,et al.  Hybrid bolt-loosening detection in wind turbine tower structures by vibration and impedance responses , 2017 .

[11]  Yoshiko Hasegawa,et al.  Quality Recognition & Prediction: Smarter Pattern Technology with the Mahalanobis-Taguchi System , 2012 .

[12]  Yingning Qiu,et al.  Wind turbine condition monitoring: technical and commercial challenges , 2014 .

[13]  Niels Leergaard Pedersen,et al.  On analysis and redesign of bolted L‐flanged connections , 2017 .

[14]  Niels Leergaard Pedersen,et al.  Bolt-plate contact assemblies with prestress and external loads: Solved with super element technique , 2009 .

[15]  Hoon Sohn,et al.  Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward , 2003 .

[16]  Yozo Fujino,et al.  Quantitative health monitoring of bolted joints using a piezoceramic actuator-sensor , 2004 .

[17]  Elizabeth A. Cudney,et al.  Mahalanobis Taguchi system: a review , 2015 .

[18]  Niels Leergaard Pedersen,et al.  On prestress stiffness analysis of bolt-plate contact assemblies , 2008 .

[19]  T. Ishihara,et al.  Anomaly detection and prediction of high‐tension bolts by using strain of tower shell , 2020, Wind Energy.