Parameter-varying modelling and fault reconstruction for wind turbine systems

In this paper, parameter-varying technique is firstly addressed for modelling a 4.8 MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using real-time system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter-varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system

Genomic regions associated with residual feed intake (RFI) in Nellore cattle, percentage of additive genetic variance and candidate genes.

<p>Genomic regions associated with residual feed intake (RFI) in Nellore cattle, percentage of additive genetic variance and candidate genes.</p

Enriched GO terms and KEGG pathways from DAVID software for ADG.

<p>Enriched GO terms and KEGG pathways from DAVID software for ADG.</p

Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additive genetic variance and candidate genes.

<p>Genomics regions associated with dry matter intake (DMI) in Nellore cattle, percentage of additive genetic variance and candidate genes.</p

Genomics regions associated with average daily gain (ADG) in Nellore cattle, percentage of additive genetic variance and candidate genes.

<p>Genomics regions associated with average daily gain (ADG) in Nellore cattle, percentage of additive genetic variance and candidate genes.</p

Genomic regions associated with feed efficiency (G:F) in Nellore cattle, percentage of additive genetic variance and candidate genes.

<p>Genomic regions associated with feed efficiency (G:F) in Nellore cattle, percentage of additive genetic variance and candidate genes.</p

Descriptive statistics for dry matter intake (DMI), average daily gain (ADG), feed efficiency (G:F) and residual feed intake (RFI).

<p>Descriptive statistics for dry matter intake (DMI), average daily gain (ADG), feed efficiency (G:F) and residual feed intake (RFI).</p

Heritability (h²) and (co)variance parameters estimate for dry matter intake (DMI), average daily gain (ADG), feed efficiency (G:F) and residual feed intake (RFI).

<p>Heritability (h²) and (co)variance parameters estimate for dry matter intake (DMI), average daily gain (ADG), feed efficiency (G:F) and residual feed intake (RFI).</p

Enriched GO terms and KEGG pathways from DAVID software for G:F.

<p>Enriched GO terms and KEGG pathways from DAVID software for G:F.</p