This paper presents a new methodology–based on cointegration analysis of Supervisory
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …

This paper proposes a novel technique that aims at detecting the effect of damage on
structural frequency signals as “bad” outliers. To this end, a procedure is developed based …

This study proposes an effective damage detection method for laminated composite
structures under the influence of nonstationary colored noise using condensed Frequency …

A real-time nonlinear ultrasonic method based on vibro-acoustic modulation is applied to
monitor early bolt looseness quantitatively by using piezoceramic transducers. In addition to …

A novel method for structural health monitoring under environmental and operational
variations (EOV) is proposed based on the prediction errors of the Johansen cointegartion …

The icing of wind turbine blades is a common problem in cold climate area. Ice accretion on
wind turbines, particularly turbine blades, can cause a variety of problems. The extreme …

Cointegration theory has been effectively applied to SHM. However, there is no work that
has focused on explaining specifically how cointegration can be applied to SHM problems …

The sensitivity of structural health monitoring systems to environmental and operational
conditions poses a significant challenge due to their inherent susceptibility to outliers. This …

An inverse input–output method is proposed for long‐term condition monitoring of civil
infrastructures through monitoring the prediction error of air temperature recorded at the site …

The monitoring of bolt looseness is crucial to ensure the safety and reliability of structures.
Prior studies have demonstrated that the vibro-acoustic modulation (VAM) method based on …