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For reducing effect of energy production on the climate change, renewable energy sources play a very important role in the global energy mix. Wind energy has the largest share in the renewable energy technologies with approximately 433 GW of globally installed capacity as of 2015. Share of power production through Wind Turbine (WT) technique is growing day by day and there is an urgent need to control...
One of the most challenging scenarios in condition monitoring is the bearing fault detection within strongly masked signal, where the vibration or acoustic signal is dominated by other component such as gears and shafts, a good example for this scenario is the wind turbine gearbox which presents one of the difficult bearing detection tasks. Nonstationary signal analysis is considered one of the main...
Planetary bearings inside a helicopter main gearbox (MGB) are key components, successful diagnosis of planetary bearing defects benefits helicopter maintenance, reducing accidents rate and increasing aircraft flightworthiness. Most widely adopted methods for bearing fault diagnosis are envelope analysis and kurtogram; both have achieved many successes in practical application. However, diagnosis of...
Vibration sensors for helicopter health and condition monitoring have been widely employed to ensure the safe operation. Through the years, vibration sensors are now commonly placed on helicopters and have claimed a number of successes in preventing accidents. However, vibration based bearing defect identification remains a challenge since bearing defects signatures are usually contaminated by background...
The helicopter speed reducer contains pinion gear, shaft, bearing, flange and other types of accessories. Due to the complexity of mechanical structure, the health characteristics have too much associated factors. In fact, the health monitoring on speed reducer have difficulties on its validity and practicability. Based on the analysis of existing problems of current research, this paper studies failure...
The general methods of health indicators extraction for planetary gearbox are based on the vibration signals which acquired by sensors equipped on the casing of the gearbox and sampled in the frame of Shannon sampling theory. Therefore, it is necessary to sample and save abundant original vibration data in the process of uninterrupted monitoring, and this will generate masses of original data which...
Machines without vibrations during operation are something non-existent which results in deterioration of machine tools. The condition based monitoring has become a crucial technique to ensure the machine availability by timely maintenance actions and reducing breakdown maintenance. Several condition monitoring techniques have been reported viz. vibration monitoring, acoustic emission monitoring,...
Studying on online monitoring and fault diagnosis system for monitoring vibration, noise, temperature, torque, stress parameters of the driving axle's key parts has a very important practical significance. The system is composed of hardware and software, which are designed into several modules, including slow-speed data acquiring and saving module, fault diagnosis module, high-speed data acquiring...
Health monitoring of gearboxes can significantly improve the ability of Condition-Based Maintenance (CBM) of the systems. One of the motivations of traditional health monitoring is to support fault diagnosis, but the monitoring results can't provide available information for CBM. Hence, this paper proposes an approach to select optimal monitoring parameters and the corresponding condition indicators...
A fault detection method based on empirical likelihood is presented to deal with the incipient fault in process and equipment. The problem of incipient fault detection is studied in the view of distribution test by a moving window approach. The original fault detection problem is transformed into distribution test, and a set of empirical likelihood values is computed. Based on the likelihood values,...
Drivetrain failures may cause severe damage to the wind turbines. In the previous work, detection of failures in generator bearing and gearbox gears using electrical signature analysis (ESA) has been investigated. However, the detection of defects of bearings in the gearboxes has been a major gap. Bearings defects in gearboxes are believed to be one of the root causes of wind drivetrain failures....
No Prognostic Health Monitoring (PHM) algorithm can turn poor sensor data into an accurate Remaining Useful Life (RUL) prediction, and measuring high-fidelity vibration data in noisy aerospace mechanical systems can be very challenging. Generally, for sensor selection and placement, temperature, masking vibration, electromagnetic interference, and vibration transfer path dynamics must all be considered...
This paper describes a Smart Vibration Monitoring System (SVMS) developed as an effective way to reduce equipment losses and enhance safety, efficiency, reliability, availability and long life time duration of an ocean turbine. The system utilizes advanced signal processing and analysis techniques to evaluate the health of a machine and identify incipient anomalies (faults) and evaluate their severity...
In this paper, a new vibration signal processing method, an adaptive narrow-band interference cancellation is developed to remove the periodic signals and background noises from the vibration signals. Narrow-band interference cancellation techniques are widely applied in signal processing of communication systems to remove the narrow-band interferences. The vibration signals of a gearbox with a damaged...
Gear wearing is the result of physical and chemical effect and it is also the ultimate reason of indirect condition information changes. On one hand, the condition information which can directly reflect the gear wear degree is difficult to measure. On the other hand, there is a mount of indirect condition information that is obtained by condition monitoring system which can reflect the health of gears...
Accelerometer data has been gathered from accelerated conditioning in grease lubricated and lubrication deprived gear meshes in AH-64 helicopter intermediate and tail rotor gearbox, which are commonly problematic components of the Apache helicopter platform. These tests were performed in a controlled drive-train research test bed, simulating drive-train conditions to improve diagnostic and prognostic...
Equipment Health Monitoring through Predictive Maintenance (PDM) data is proposed and the same is demonstrated with case study. Steel Rolling Mill Gearbox is considered for the purpose. Empirical failure rate model using Equipment Health Index (EHI) is proposed and used it for forecasting maintenance requirements of the process equipment. The strength of the proposed approach lies in integrating multiple...
The Article focuses on a monitoring system for high-speed wire running consisting of process volume system and vibration monitoring system based on precision of fault diagnosis and demands of energy lowering for high-speed wire mill, and the System will ensure stable running of equipment and lower the energy consumption. The Article shows composition, functions and purposes of the System and illustrates...
Mechanical and electrical system status monitoring and fault diagnosis technologies have received increasing attention. The traditional monitoring process can not meet the actual demand. The sensitivity monitoring technology conducts all-round monitoring of vibration vector of mechanical and electrical system as well as the vibration vector change type, increases the monitoring information amount...
When gearbox operated abnormally, a frequency vibration energy of signal after undecimated wavelet transformation would have great changes, the online monitoring and diagnosis system of wind turbine gearbox was developed accordingly. Measured the vibration signal of bearing fault in the laboratory, The results showed that this proposed method can be more accurate display characteristics, which was...
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