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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...
Low cost electronic platforms based on Atmel microcontroller, as Arduino platform, are used in many applications and in several fields. Indeed, their characteristics in terms of inputs, outputs, CPU and RAM make possible to develop rapid smart-systems for measurement avoiding additional components. CPU and RAM performance allows analyzing complex numerical signals. The aim of this paper is to show...
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,...
Industrial Wireless Sensor Networks (IWSNs) are expected to offer promising monitoring solutions to meet the demands of monitoring applications for fault diagnosis in large-scale petrochemical plants, however, involves heterogeneity and Big Data problems due to large amounts of sensor data with high volume and velocity. Cloud Computing is an outstanding approach which provides a flexible platform...
In this article, we propose a new scheme DeGas to determine the boundary area of the toxic gas with planarization algorithm. This detected boundary area will ensure safe area around the toxic gas and will provide a decision reference for evacuation and rescue of the first-line workers in the large-scale petrochemical plants. Understanding the implications of these observations enable to find out an...
In remotely deployed Wireless Sensor Networks (WSN) software faults may occur due to sensor nodes process failures. Fault diagnosis remains a challenging task due to physical inaccessibility of sensor nodes, energy constraints and varying application requirements for latency and reliability. WSN once deployed resort to fault management mechanisms to ensure continued operation. While fault detection...
Wireless sensor networks are widely deployed in different industrial applications. Fault diagnosis of sensors is essential for maintaining a robust WSN operation. In this paper, we show faulty sensors diagnosis can be transformed into a pattern classification problem. We also introduce an efficient algorithm, called, Neighborhood Hidden Conditional Random Field, to recognize sensor states and the...
A machine fault diagnosis method using industrial wireless sensor networks (IWSNs) and support vector machine (SVM) is presented in this paper as a potential low-cost and effective solution for device condition monitoring and fault diagnosis. On sensor node SVM is proposed and researched to reduce the data transmission between sensor nodes, decrease node energy consumption and increase the fault diagnosis...
An Industrial Wireless Sensor Network system is described for condition monitoring of electric machines. On-sensor data processing is used to reduce the amount of information that needs to be transmitted, thus saving communications energy. Based on a condition monitoring interval of 3 seconds, and using 2 AAA batteries for power, the system lifetime is measured for four different operating modes....
With the extensive utilization of wireless sensor network, the requirement on improving its structure and complexity is increasing to a great extent. In order to solve the problems during the running process, the systems for testing and debugging come into being. This article did not only summarize the basic testing and debugging methods, testbeds and cases for wireless sensor network, but also summed...
Motor systems are critical equipment in modern industry. To make the equipment maintenance more efficient, this paper proposes an online and remote machine condition monitoring and fault diagnosis system for motor system based on WIA-PA (Wireless network for Industry Automation — Process Automation). The system continuously monitors the status of the target motor systems using wireless vibration transmitters...
This paper presents a distributed faulty node detection approach for wireless sensor networks that employ aggregation of measurement data on their way toward the sink. The approach is based on the idea of commanding nodes to go into sleep mode in accordance with a schedule that tries to keep the network connected and whose objective is to detect faulty nodes through a process of elimination. The algorithm...
In Wireless Sensor Networks (WSNs), performance and reliability depend on the fault tolerance scheme used in the system. Fault diagnosis is an important part of fault tolerance. An effective diagnosis tool helps network administrators clearly monitor, manage, and troubleshoot the performance of the network. However, the design of online fault diagnosis is crucial in WSNs since many faults can easily...
In Wireless Sensor Networks (WSNs), performance and reliability depend on the fault tolerance scheme used in the system. Fault diagnosis is an important part of fault tolerance. An effective diagnosis tool helps network administrators clearly monitor, manage, and troubleshoot the performance of the network. However, the design of online fault diagnosis is crucial in WSNs since many faults can easily...
Existing approaches to diagnosing sensor networks are generally sink-based, which rely on actively pulling state information from all sensor nodes so as to conduct centralized analysis. However, the sink-based diagnosis tools incur huge communication overhead to the traffic sensitive sensor networks. Also, due to the unreliable wireless communications, sink often obtains incomplete and sometimes suspicious...
With the rapidly gaining ground of the Internet of things, wireless sensor networks (WSNs) will be bound to permeate more and more applications. However, due to the nature of these applications such as harsh environment, resource-limited wireless sensor networks are usually fault prone. Therefore, it is essential to provide effective fault management techniques and robust fault management frameworks...
Structural Health Monitoring (SHM) is a good approach to collecting data about critical structural elements and providing diagnosis of the structural condition. Among considerable solutions to perform SHM, Wireless Sensor Networks (WSNs) present a novel method with compelling advantages. However, in order to satisfy stringent requirements in SHM, WSN solution must handle numerous challenges before...
There are many auxiliaries in a power plant (APP) with high rotating speed, such as pumps, fans, motors and so on. To warrant their safe and reliable operation, their state of vibration has to be monitored. But because of their scattered locations, the traditional way of online monitoring with shielded cable connections is costly and work expensive and the precision, reliability and safety of itinerant...
With the size and complexity of modern Wireless Sensor Networks (WSNs) systems, a system's ability to recover from faults is becoming more important. A self-healing system is one that has the capability to recover from faults without human intervention during execution. Since WSNs are inherently fault-prone and since their on-site maintenance is infeasible, scalable self-healing is crucial for enabling...
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