Maintenance is an important activity in industry. It is performed either to revive a machine/comp... more Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved through time, bringing maintenance to its current state: condition-based and predictive maintenances. This evolution was due to the increasing demand of reliability in industry. The key process of condition-based and predictive maintenances is prognostics and health management, and it is a tool to predict the remaining useful life of engineering assets. Nowadays, plants are required to avoid shutdowns while offering safety and reliability. Nevertheless, planning a maintenance activity requires accurate information about the system/component health state. Such information is usually gathered by means of independent sensor nodes. In this study, we consider the case where the nodes are interconnected and form a wireless sensor network. As far as we know, no research work has considered such a case of study for prognostics. Regarding the importance of data accuracy, a good prognostics requires reliable sources of information. This is why, in this paper, we will first discuss the dependability of wireless sensor networks, and then present a state of the art in prognostic and health management activities.
Maintenance is an important activity in industry as it reduces costs and enhances availability. T... more Maintenance is an important activity in industry as it reduces costs and enhances availability. This can be done either to revive a system/component or to prevent it from breaking down. The increasing need for reliability has led maintenance strategies to evolve from corrective to condition-based and predictive maintenance. The key process of the latter is prognostics and health management, a tool that predicts the remaining useful life of engineering assets. As plants are requested to offer both safety and reliability, planning a maintenance activity requires accurate information about the system/component health state. Usually, this information is gathered through independent sensors or a wired network of sensors. The use of a wireless sensor network has many advantages. First of all, the absence of wires gives sensor networks the ability to cover a large scale surveillance area. Second, it has become possible to monitor hostile and inaccessible areas by simply dropping the sensors from an aircraft to the monitoring region. Finally, the accuracy of measurements can be improved as the sensors can be placed at specific locations without being wired. Even though the deployment of wireless sensor networks is gaining great importance in monitoring applications, there are some research issues that still need to be studied to provide more accurate and reliable data. Indeed, we strongly believe that a good prognostic process starts with a reliable source of information; the wireless sensor network in our case. For this matter, in this paper, we discuss the Wiem Elghazel et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. dependability of wireless sensor networks, we highlight the attributes that have an impact on data accuracy, and present the state of the art in prognostics.
Maintenance is an important activity in industry. It is performed either to revive a machine/comp... more Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved through time, bringing maintenance to its current state: condition-based and predictive maintenances. This evolution was due to the increasing demand of reliability in industry. The key process of condition-based and predictive maintenances is prognostics and health management, and it is a tool to predict the remaining useful life of engineering assets. Nowadays, plants are required to avoid shutdowns while offering safety and reliability. Nevertheless, planning a maintenance activity requires accurate information about the system/component health state. Such information is usually gathered by means of independent sensor nodes. In this study, we consider the case where the nodes are interconnected and form a wireless sensor network. As far as we know, no research work has considered such a case of study for prognostics. Regarding the importance of data accuracy, a good prognostics requires reliable sources of information. This is why, in this paper, we will first discuss the dependability of wireless sensor networks, and then present a state of the art in prognostic and health management activities.
Maintenance is an important activity in industry. It is performed either to revive a machine/comp... more Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved through time, bringing maintenance to its current state: condition-based and predictive maintenances. This evolution was due to the increasing demand of reliability in industry. The key process of condition-based and predictive maintenances is prognostics and health management, and it is a tool to predict the remaining useful life of engineering assets. Nowadays, plants are required to avoid shutdowns while offering safety and reliability. Nevertheless, planning a maintenance activity requires accurate information about the system/component health state. Such information is usually gathered by means of independent sensor nodes. In this study, we consider the case where the nodes are interconnected and form a wireless sensor network. As far as we know, no research work has considered such a case of study for prognostics. Regarding the importance of data accuracy, a good prognostics requires reliable sources of information. This is why, in this paper, we will first discuss the dependability of wireless sensor networks, and then present a state of the art in prognostic and health management activities.
Maintenance is an important activity in industry as it reduces costs and enhances availability. T... more Maintenance is an important activity in industry as it reduces costs and enhances availability. This can be done either to revive a system/component or to prevent it from breaking down. The increasing need for reliability has led maintenance strategies to evolve from corrective to condition-based and predictive maintenance. The key process of the latter is prognostics and health management, a tool that predicts the remaining useful life of engineering assets. As plants are requested to offer both safety and reliability, planning a maintenance activity requires accurate information about the system/component health state. Usually, this information is gathered through independent sensors or a wired network of sensors. The use of a wireless sensor network has many advantages. First of all, the absence of wires gives sensor networks the ability to cover a large scale surveillance area. Second, it has become possible to monitor hostile and inaccessible areas by simply dropping the sensors from an aircraft to the monitoring region. Finally, the accuracy of measurements can be improved as the sensors can be placed at specific locations without being wired. Even though the deployment of wireless sensor networks is gaining great importance in monitoring applications, there are some research issues that still need to be studied to provide more accurate and reliable data. Indeed, we strongly believe that a good prognostic process starts with a reliable source of information; the wireless sensor network in our case. For this matter, in this paper, we discuss the Wiem Elghazel et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. dependability of wireless sensor networks, we highlight the attributes that have an impact on data accuracy, and present the state of the art in prognostics.
Maintenance is an important activity in industry. It is performed either to revive a machine/comp... more Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved through time, bringing maintenance to its current state: condition-based and predictive maintenances. This evolution was due to the increasing demand of reliability in industry. The key process of condition-based and predictive maintenances is prognostics and health management, and it is a tool to predict the remaining useful life of engineering assets. Nowadays, plants are required to avoid shutdowns while offering safety and reliability. Nevertheless, planning a maintenance activity requires accurate information about the system/component health state. Such information is usually gathered by means of independent sensor nodes. In this study, we consider the case where the nodes are interconnected and form a wireless sensor network. As far as we know, no research work has considered such a case of study for prognostics. Regarding the importance of data accuracy, a good prognostics requires reliable sources of information. This is why, in this paper, we will first discuss the dependability of wireless sensor networks, and then present a state of the art in prognostic and health management activities.
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