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Roller element bearings are a common component and crucial to most rotating machinery; their failure makes up around half of the total machine failures, each with the potential to cause extreme damage, injury and downtime. Fault detection through condition monitoring is of significant importance. This paper demonstrates bearing fault detection using widely accessible consumer audio tools. Audio measurements...
This paper deals with the diagnosis problem of hybrid dynamic system. An Efficient diagnosis technique has to be adopted to detect, isolate faults. The modeling tool selected is the hybrid automata for its power analysis. A simple process is used to demonstrate the modeling steps and the time analysis method to reach the diagnosis results.
This paper proposes a design method of a support tool for detection and diagnosis of failures in discrete event systems (DES). The design of this diagnoser goes through three phases: an identification phase and finding paths and temporal parameters of the model describing the two modes of normal and faulty operation, a detection phase provided by the comparison and monitoring time operation and a...
This paper deals the diagnosis of hybrid systems. The objective is the integration of these two modeling tools: Observers and Timed Automata for the design of a global diagnostic model. The latter allows to detect and locate faults, minimize repair time and provide a reliable diagnosis and easily readable despite the complexity of the equipment. As regards methodology, the work consists in automate...
The need for maintenance is based on the wear of components of machinery. If this need can be defined reliably beforehand so that no unpredicted failures take place then the maintenance actions can be carried out economically with minimum disturbance to production. There are two basic challenges in solving the above. First understanding the development of wear and failures, and second managing the...
Worldwide, buildings account for ca. 40% of the total energy consumption and ca. 20% of the total CO2 emissions. While most of the energy goes into primary building use, a significant amount of energy is wasted due to malfunctioning building system equipment and wrongly configured Building Management Systems (BMS). For example, wrongly configured setpoints or building equipment, or misplaced sensors...
Nanotechnology is the use of materials with at least one dimension less than 100 nm. Nanotechnology has already revolutionized numerous fields, from construction to computers. Recently, nanotechnology has also been used to improve disease detection and treatment by developing wireless in situ sensors. Importantly, the use of wireless technologies in medicine, such as wireless body area networks and...
Globally, mobile health (mHealth) technology could present incredible advantages to the general public, comprising of improved health care system, with less errors, reduced cost, and enhanced patient and healthcare systems commitment. To let mobile health apps and devices be safe and effective it should be regulated that it is designed, and developed properly. Then it should be implemented correctly...
This paper discusses the potential benefits of artificial intelligence techniques. First, the role of alarm interpretation in complex process monitoring is examined followed by an analysis of the alarm interpretation task. The techniques used in several industrial applications are described. They are compared and the common features are highlighted. This paper has been written so as to provide the...
In Discrete Events System (DES), there are two basic approaches to diagnosis: the first approach is the diagnosers and the second approach is Causal Temporal Signature (CTS) and chronicles. The first approach has limitations including the issue of combinatorial explosion. On the other side, it offers tools to study the diagnosability of the models constructed. CTS are easier to write but pose the...
This paper deals with discrete event systems represented as Interpreted Petri Nets (IPN), which have been used for characterizing the diagnosability property. In this work, polynomials algorithms for determining the diagnosability of operational and permanent faults in IPN has been implemented in a Graphic User Interface (GUI) as well as a Fault detection and isolation scheme (FDIS) for simulating...
The detection and diagnosis of faults in industrial processes can help to reduce maintenance costs and improve the safety of plant operations. In order to avoid inefficient operation of faulty equipment and minimize the number of unnecessary shutdowns it is important for the operators to have reliable information about the current impact of the fault in the process performance and the future evolution...
Context-awareness has been successfully included in the mobile device applications due mainly to the presence of numerous sensors and the access to several communication networks. Therefore, this paper presents a context-aware framework based on geolocation for a health care governance system. While enabling remote health diagnosis of a patient using his/her own mobile device, the proposed system...
This paper describes a prototype of software system of neural network control of telemetry data for malfunction diagnosis of spacecraft subsystems. The prototype is used for testing of intelligent technologies for processing information about a spacecraft subsystems state, prediction and detection of irregularities of the spacecraft subsystem modes. The Information obtained from on-board data sources...
The rapid increasing development of the Wireless Sensor Networks (WSN) and their wide spread over numerous domains of our daily life, keep on drawing researchers attention in order to make them reaching the expected and promising maturity. So, for this purpose, many attributes in WSN have been paid more attention than that of dependability. Indeed, when the node density is large, a node failure rate...
The invited lecture focuses on Structural Health Monitoring (SHM) as a modern trend in maintenance. Principle of the new approach is presented and advantages of SHM are highlighted. The SHM consists of three interconnected subsystems — detection, diagnosis and prognosis. Roles of the subsystems are explained. Current R&D activities in this field are summarized. Faculty of Electrical Engineering...
A new 5-level PFC topology with fault-diagnosis and fault-tolerant capability is proposed and compared to known structures. It is derived from a 3-level non differential double-boost PFC including 2-stacked fly-cap cells. The series-connection of the two low-voltage switching-cells is decoupled by a single flying capacitor that provides a failed-safe tolerant capability increasing the availability...
Magnetic molecular-level interrogation, manipulation, and diagnosis are emerging as lab-on-chip platforms. These platforms entail low-cost, low-power, portable, and high efficiency integrated implementations. We introduce an all-integrated programmable 16 × 16 magnetic coil array chip for sensing and actuating small single bio-objects or collaboratively manipulating larger ones. The die-size is 1...
In this paper, a new method for detecting cardiac abnormalities (bradycardia and tachycardia) is proposed. Based on the YNI (Yanagihara, Noma, and Irisawa) model to analyze the pole-zero characteristics of the phase error between abnormal electrocardiography (ECG) and entrained YNI-response, it develops a diagnostic pacemaker system that can replace multiple sensors. The work derives for the first...
This paper presents the design of two (2) novel endoscopic capsules. Using current capsule endoscopy technologies approximately 70,000 images of the human gastric tract are obtained during the examination. Usually, these images are reviewed by a gastroenterologist in a form of a video at various speeds (5 - 40 frames/sec). A physician spends 55 to 180 minutes reading these results. This represents...
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