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This paper proposes a novel approach for machine fault diagnosis using industrial wireless sensor networks (IWSNs) and on-sensor calculation. In this paper, the induction motor and vibration signal are taken as an example of the monitored industrial equipment and signal due to their wide use. The discrete wavelet transform and wavelet energy-moment are used for on-sensor machine fault feature extraction,...
Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This...
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...
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...
To gain the fault information and determine the fault position, monitoring point should be selected properly, otherwise, it usually fails to fulfill the task effectively and accurately in monitoring and diagnosing the gearbox. A method based on condition attribute reduction technology in Rough Sets was proposed to optimize the sampling point. First, the decision table was established according to...
The diesel engine, an efficient power machinery, is widely applied in many fields, such as vehicle, watercraft and petroleum machinery. The significance and difficulties of fault diagnosis on diesel engine is stated. Some domestic and foreign conventional methods of diesel state monitoring and fault diagnosis and their principles is discussed. Then, the applications of vibration signal time frequency...
Bearing is one of the most critical components of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. Therefore; any fault in the bearings can lead to losses on the level of production and equipments as well as the creation of an unsafe working environment for humans. For that reason, the bearing fault diagnosis has received considerable attention from the...
Bladed disks are considered as the principal component in turbomachines. Any fault occurs in impeller's blade gives the breakdown in these machines and decrease the production. It is important to detect the failures in the bladed disk as early as possible. The aim of this article is to detect the blade failures such as deformation, fractured blade and blade loss using vibration analysis which considered...
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 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...
The fault rate of on-load tap-changer (OLTC) has always been in a high level, and that is exactly the primary reason of transformer faults. As a result, an on-line detection method of OLTC was proposed. The embedded platform and wireless sensor network (WSN) technology was introduced into the on-line detection system. WSN was used to obtain OLTC status information. The embedded platform software,...
As the core component of rotating machinery, rotor system is often subjected to the different torque load in the operation process, resulting in the change of bearing load, system vibration and friction behavior between axis and bearing. Further, the operation situation of rotor system is changed. At present, the perfect conclusion has not been formed to identify torque load of rotor system. In this...
The total installed capacity of wind turbines is continuously increasing with focus on Renewable Energy Sources (RES). The reliability and efficiency of wind turbines has become a major issue. The occurrence of fault in various components of wind turbine needs to be addressed for improved performance. Among these issues, wind turbine bearing fault is the most significant. Different techniques such...
As far as the asset reliability is concerned the Condition Based Maintenance is a major issue. The old maintenance strategies like break-down & preventive hold not good any time for many production systems. To create competitiveness & sustain in market CBM is a good tool. Rolling element bearing is a major component of machinery which is very prone to failure. Researchers have proposed many...
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...
The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. An unexpected defect of the bearing may cause significant economic losses. For that reason, the condition monitoring of these bearings has become a fundamental axis of development and industrial research. The focus of this paper is to combine tow...
This paper investigates the application of multisensor fault feature extraction and fuzzy-logic based clustering for the condition monitoring of bearing. Multiple independent sensors on an electric motor drive system provide valuable early indication of a fault, and can be effectively utilized to perform high reliable and optimal fault detection. Through utilizing common sensors including current...
This paper investigates the use of fibre Bragg grating (FBG) accelerometers for wide band vibration monitoring in wound rotor induction generators. The sensor performance is assessed in a series of experiments on a laboratory test rig comprising a 30kW induction machine operating in healthy conditions and with electrical or mechanical fault. Vibration measurements are processed and analyzed in the...
Bearings consist one of the most widely used industrial rotating machine elements, especially rolling bearings and journal bearings. The capability to detect fast, accurately and easily the existence and severity of bearing fault during operation is very important as an unexpected failure of machine can lead to significant economic losses. This paper mainly introduces an actual case study of bearing...
For the mechanical parts of helicopter easily damaged and often inducing accident, the key system to ensure flight safety of helicopter and achieve the on-condition maintenance is HUMS. In the paper the key technologies of HUMS are researched including position optimizing of the sensors, flight safety monitoring and diagnosing technology, the method of setting threshold, and it is dissertated in detail...
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