It is important to predict the incipient fault in transformer oil accurately so that the maintenance of transformer oil can be performed correctly, reducing the cost of maintenance and minimise the error. Dissolved gas analysis (DGA) has been widely used to predict the incipient fault in power transformers. However, sometimes the existing DGA methods yield inaccurate prediction of the incipient...

Varying speed conditions bring a huge challenge to incipient fault detection of rolling element bearings because both the change of speed and faults could lead to the amplitude fluctuation of vibration signals. Effective detection methods need to be developed to eliminate the influence of speed variation. This paper proposes an incipient fault detection method for bearings under varying speed c...

This paper mainly deals with the issue of incipient fault diagnosis for rolling element bearing. Firstly, an envelope demodulation technique based on wavelet packet transform and energy operator is applied to extract the fault feature of vibration signal. Secondly, the relative spectral entropy of envelope spectrum and the gravity frequency are combined to construct two-dimensional features vec...

An initial investigation into the performance of acoustic condition monitoring in the detection of structural faults in turbine blades has been carried out. The focus is to design a non-contact condition monitoring method which might allow the detection of incipient faults in the turbine blades therefore preventing major breakdown and potentially reducing maintenance downtime. Such systems, may...

The immersed-oil power transformer is so vital equipment in power system that maintenanceengineers take more monitor from transformer’s insulating oil to diagnose what is condition of operation. Then the dissolved gas analysis (DGA) is known for an effective technique on detecting incipient faults in oil-immersed power transformers. In this paper, a practical method is presented which consists ...

Fault diagnosis of power transformers have always drawn the attention among the users, without removing the transformers from the service. Thus it is necessary to detect the incipient fault of a power transformer at an early stage and diagnose properly on optimum way. Dissolved gas analyses (DGA) is widely used to detect incipient faults in oil filled power transformers. Throughout the world, d...

A hierarchical structure based on a Deep LSTM Supervised Autoencoder Neural Network (Deep LSTM-SAE NN) is presented for the detection and classification of faults in industrial plants. The proposed methodology has ability to classify incipient that are difficult detect diagnose with traditional many recent methods. Faults grouped into different subsets according degree difficulty them accuratel...

The new technological developments have allowed the evolution of industrial process to this concept called Industry 4.0, which integrates power machines, robotics, smart sensors, communication systems, and Internet Things more reliable automation systems. However, electrical rotating machines like Induction Motor (IM) are still widely used in several applications because their robust elements, ...