Sentence examples for turbine fault from inspiring English sources

Then, we develop a general approach to steam turbine fault diagnosis by using the proposed model.

The review showed that steam turbine fault detection and operation maintenance system (STFDOMS) is gaining importance recently.

Different types of sensors have been used for long time in wind turbine fault diagnosis or monitoring systems to collect data of the generator health.

Extensive simulation tests are conducted to explore the effectiveness of the proposed FTC performances in response to different categories of steam turbine fault scenarios.

A fuzzy system is developed using a linearized performance model of the gas turbine engine for performing gas turbine fault isolation from noisy measurements.

The main challenges of the wind turbine fault detection lie in its nonlinearity, unknown disturbances as well as significant measurement noise.

In the GPC formulation, an adaptive configuration of its internal model has been devised to capture the faulty model for the set of internal steam turbine faults.

To address this issue, a novel method to diagnose wind turbine faults via dictionary learning and sparse representation-based classification (SRC) is proposed in this paper.

It is difficult to well account for the effect of strong non-linear dynamic characteristics and transient loading events, e.g. wind turbine faults, of floating wind turbines in a frequency-domain finite element analysis.

An active fault tolerant control (FTC) scheme is proposed in this paper to accommodate for an industrial steam turbine faults based on integration of a data-driven fault detection and diagnosis (FDD) module and an adaptive generalized predictive control (GPC) approach.

Moreover, it also uses sensors/signals for wind turbines fault diagnosis such as strain sensors (Yang et al. 2015; Yoon et al. 2015), vibration (Yang et al. 2015a, b; Du et al. 2015; Gerber et al. 2015), acoustic emission (Ming et al. 2015) and SCADA data (Long et al.; Papatheou et al. 2015).