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Gas turbine engine blades are subjected to severe fatigue which is caused by complex in-service environment. In fact, blade crack is one of the costliest sources of damage in gas turbine. Detection of cracks of blades is important to ensure safe and reliable operation of gas turbine engine. A vibration-based damage-detection methodology is presented in this paper to monitor the health condition of...
The monitoring of induction motors through predictive techniques and artificial intelligence has grown considerably in recent years. These techniques allow the detection of a defect in its early stages, consequently allow maintenance personnel to schedule the intervention, working within the concept of planned corrective maintenance, avoiding catastrophic failures on the production line. Among these...
In this paper the performance of a new optical sensor based on a bundle of optical fibres is analysed. An inductive sensor with proven capacity to carry out blade tip timing measurements in real aircraft engines applications is used as reference. The results of the optical sensor show a good correlation with those provided by the inductive sensor, demonstrating the suitability of the optical sensor...
In the article characteristics of signals recorded by 3-axis MEMS accelerometers and gyroscopes during driving a car was presented. The method of acquisition was discussed as well as the structure of Logger Box measurement system and conditions of conducting experimental research. Signal bands were assigned, typical for maneuvers, vibrations from the road pavement surface and disruptions generated...
This paper presents a method to detect gradual deterioration of behavior in discrete manufacturing pieces of equipment dedicated to transportation of parts between the processing workstations. Monitored energy patterns are correlated with workload data (number of pallets occupying conveyor segments at a time). Detection of gradual conveyor misalignment relies on checking whether the output of a rule...
This paper presents a method to identify at an early stage incipient faults in pieces of equipment typically used for transportation of parts in discrete manufacturing settings. The method relies on knowledge of the typical energy consumption of the described devices using different workloads (the energy signature of the machines). At runtime, Support Vector Machines (SVM) are used to classify the...
No Prognostic Health Monitoring (PHM) algorithm can turn poor sensor data into an accurate Remaining Useful Life (RUL) prediction, and measuring high-fidelity vibration data in noisy aerospace mechanical systems can be very challenging. Generally, for sensor selection and placement, temperature, masking vibration, electromagnetic interference, and vibration transfer path dynamics must all be considered...
Road vehicle improve the quality of people's life, however harmful vehicle exhaust emissions, such as carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), hydrocarbon (HC), and sulphur dioxide (SO2), have become more and more unacceptable and endangers human health. To reduce the pollution from road vehicle engines, the first step is to develop accurate monitoring equipments and technologies...
Along with the rapid development of science and technology, modern large-scale mechanical equipments are becoming larger, more complicated and expensive and so on. Once the problems of equipments are appeared, it's hard to be solved effectively only by the users' experiences and technical ability. As some exclusive attributes of mechanical system is required higher by broad users. The monitorability-based...
The V-22 tiltrotor aircraft's primary tool for aircraft maintenance is the Comprehensive Automated Maintenance Environment - Optimized (CAMEO). CAMEO is a ground based system for aircraft download processing. Under the CAMEO umbrella are several tools with distinct functionality, linked together and sharing common data to support aircraft maintenance operations. This paper provides a general overview...
Ship's vibration are caused by the propeller, engine and auxiliary machinery, bow thruster and effects of the sea. Vibrations can be so high that it provides discomfort on board and make damage to ship's hull, machinery and equipments. During recent years fiberoptic sensors have gained increasing interest in the field of ship monitoring. Fiber optic sensors have been used in a wide variety of applications;...
This paper introduces the accidents that are prone to happen in the engine bench test and the need for real-time monitoring of the engine test, explains the working principle of the real-time monitoring and early-warning system, analyses the classification of engine faults and why they generate, builds the real-time monitoring and early-warning system of the engine bench test, determinates the type...
The vibration test of the 4LZ-2 combine harvester is carried out on the location of the driver room. The main causes of the mechanical vibration and the maximum value of the vibration are determined. The anti-vibration test of the grain lost monitor is made. On above basis the anti-vibration performance of the monitor is studied and the monitor is redesigned. The reliability of the monitor is greatly...
The brief of the Rolls-Royce University Technology Centre in Control and Systems Engineering at the University of Sheffield's is to perform research and development of engine control and monitoring systems. Over recent years work has been investigating and developing the key components to provide a complete approach to remote asset monitoring, from local networks of wireless sensors gathering information...
Algorithmic approaches for failure risk assessment, anomaly detection and life prognosis of gas turbine blade are discussed. Modeling of blade tip clearance and Monte Carlo simulation considering creep, vibration and other damaging effects lead to two probabilistic distributions with blade tip clearance data. Failure risk can be determined during blade life usage based on blade tip tolerance limits...
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