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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,...
In this paper, Spread Spectrum Time Domain Reflectometry (SSTDR) has been implemented for the first time across the gate and the source of a power metal oxide semiconductor field effect transistor (MOSFET) to perform the online degradation monitoring of switching devices as well as the overall converter. To accomplish this, the SSTDR test signal is superimposed with the pulse width modulated (PWM)...
V-belt-pulley couplings are commonly used for speed reduction in induction motor driven industrial applications since they provide flexible transmission of power at low cost. However, they are susceptible to mechanical defects such as belt wear or crack that can cause slippage or damage of the belt and lead to decrease in efficiency and lifetime of the system. There are many limitations to applying...
Condition monitoring of machinery has entered the big data era, while the existence of dirty data reduces the quality of the whole data. In order to recognize the dirty data included in machinery monitoring data, a new method is proposed in this paper. First, a feature named sampled power index (SPI) is designed to transform the dirty data recognition issue into the outlier recognition. Then the windowing...
This paper introduces a dead-time optimization technique for a 2-level voltage source converter (VSC) using turn-off transition monitoring. Dead-time in a VSC impacts power quality, reliability, and efficiency. Silicon carbide (SiC) based VSCs are more sensitive to dead-time from increased reverse conduction losses and turn-off time variability with operating conditions and load characteristics. An...
In this paper, we present the system design and specifications for a wireless acoustic sensor network (WASN) in the field of industrial machine monitoring. We describe the system, which is composed of off-the-shelf components and derive two possible operational sequences for the usage in smart factory environments. Preliminary measurements verify the functionality of the system which allows for low-frequency...
Condition monitoring (CM) of gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Monitoring temperature is an effective mean to collect useful information about the healthy conditions of the gearbox. This study investigates the use of a novel wireless temperature node to monitor and diagnose different faults on a gearbox transmission system under...
As the new technology of test and diagnosis, condition monitoring and health management has been the core system of autonomous logistics of military equipment, and it has important role in ensuring the combat readiness, improving the operational effectiveness and reducing the total cycle cost of equipment. In this paper, focused on the condition monitoring and health management of active electronically...
Elevators are the means that people often use in everyday life. From the past until nowadays many elevators have been used in many areas. Elevator systems with the formation of high-rise buildings in recent years has become more important. Early diagnosis of faults that may occur in the elevator system is very important. In this study, an approach has been proposed to monitor and detect faults on...
Sensor systems for machine monitoring (energy monitoring, condition monitoring) can be built up from available low cost components. The Raspberry Pi, being a miniature PC, is well suited to collect and save data, to control a human machine interface and make the connection to the Web via Ethernet. Metering the energy of a 3 phase power line can be done by an energy metering sensor combined with an...
The authors present a novel on-line partial discharge (OLPD) high voltage (HV) insulation condition monitoring (CM) solution for complete HV network monitoring of petrochemical refining facilities. Continuous, (24/7) OLPD insulation monitoring of the HV insulation condition of cables, switchgear, transformers and rotating machines (operating at 3000 V and above) provides operators with an early warning...
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...
This paper proposes a methodology to be used in the segmentation of infrared thermography images for the detection of bearing faults in induction motors. The proposed methodology can be a helpful tool for preventive and predictive maintenance of the induction motor. This methodology is based on manual threshold image processing to obtain a segmentation of an infrared thermal image, which is used for...
Condition monitoring can diagnose the inception of fault mechanisms in induction motors, thus avoiding failure and expensive repairs. Therefore, there is a strong need to develop an efficient condition monitoring. The main target is to achieve a relatively low cost and/or non-invasive system which is still powerful in terms of monitoring for online detection of developing faults. The presented paper...
This paper reviews the technique of electrostatic monitoring. Over the past twenty years, the technique of electrostatic monitoring has been developed and applied to aircraft and engine condition monitoring in a wide range of components. The first successful application was to gas turbine engines where it was used to detect the presence of foreign debris in the gas path. Subsequent research has shown...
Reciprocating compressors are widely used in oil and gas industry for gas transport, lift and injection. Critical reciprocating compressors that operate under high-speed conditions, flow hazardous gases and have a high duty cycle are target rotating equipment on maintenance improvement lists due to downtime risks and safety hazards. Estimating performance deterioration and failure time for reciprocating...
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...
For long-lifetime industrial equipments, the online prognostics can predict the remaining useful life (RUL) of the systems in real time, which further offers effective references for the maintenance schedule. Most existing literatures with respect to the issue of prognostics only deal with one single degradation process or simply use the Copula functions to model the correlation structures for multi-component...
This paper lays the foundation for the development of an innovative electro-mechanical actuator for flight-control surfaces. The main features of the enhanced system will be the introduction of new sensor types and health monitoring capabilities. A dedicated test bench has been developed in order to perform endurance tests, leading the mechanical components to failure. In this view, a Condition Monitoring...
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