Instantaneous Circular Pitch Cyclic Power (ICPCP) – A Tool for Diagnosis of Planetary Gearboxes

2012 ◽  
Vol 518 ◽  
pp. 168-173 ◽  
Author(s):  
Adam Jablonski ◽  
Tomasz Barszcz
Keyword(s):  
Vibration Analysis ◽  
Wind Farms ◽  
Real Data ◽  
Vibration Sensor ◽  
Position Sensor ◽  
Monitoring And Diagnosis ◽  
Research Activities ◽  
Novel Method ◽  
Non Destructive ◽  
Circular Pitch

The process of monitoring and diagnosis of planetary gearboxes is currently one of the most significant topics for vibroanalysis. The reason for ubiquitous research activities on the topic arises form a shortage of efficient method for a non-destructive thorough vibration analysis of planetary gearboxes, especially working under low speeds. On the other hand, the number of high-value planetary gearboxes working in industry rises rapidly, mainly due to expansion of wind farms. In the paper, the authors present a novel method for the assessment of the technical state of planetary gearboxes with a vibration sensor mounted on the casing, and without a planets position sensor. The method is based on the calculation of cyclic energy of gearbox teeth contact within consecutive carrier revolutions. The methods performance is illustrated on a real data from a wind turbine.

Failure Analysis Case Study of a 1.5 Meter Space Flex Harness

2017 ◽  
Author(s):  
Erick Kim ◽  
Kamjou Mansour ◽  
Gil Garteiz ◽  
Javeck Verdugo ◽  
Ryan Ross ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Failure Modes ◽  
Field Of View ◽  
Area Of Interest ◽  
Air Stream ◽  
Novel Method ◽  
Temperature Controlled ◽  
Non Destructive ◽  
Failure Site

Abstract This paper presents the failure analysis on a 1.5m flex harness for a space flight instrument that exhibited two failure modes: global isolation resistances between all adjacent traces measured tens of milliohm and lower resistance on the order of 1 kiloohm was observed on several pins. It shows a novel method using a temperature controlled air stream while monitoring isolation resistance to identify a general area of interest of a low isolation resistance failure. The paper explains how isolation resistance measurements were taken and details the steps taken in both destructive and non-destructive analyses. In theory, infrared hotspot could have been completed along the length of the flex harness to locate the failure site. However, with a field of view of approximately 5 x 5 cm, this technique would have been time prohibitive.

Research on transformer vibration monitoring and diagnosis based on Internet of things

2021 ◽  
Vol 30 (1) ◽  
pp. 677-688
Author(s):  
Zhenzhuo Wang ◽  
Amit Sharma
Keyword(s):  
Internet Of Things ◽  
Power Distribution ◽  
Vibration Analysis ◽  
Vibration Monitoring ◽  
Power Transformers ◽  
Normal Operation ◽  
Analysis Method ◽  
Power Distribution Network ◽  
Monitoring And Diagnosis ◽  
Distribution Transformers

Abstract A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved.

scholarly journals Calibration of Camera and Flash LiDAR System with a Triangular Pyramid Target

2021 ◽  
Vol 11 (2) ◽  
pp. 582
Author(s):  
Zean Bu ◽  
Changku Sun ◽  
Peng Wang ◽  
Hang Dong
Keyword(s):  
Simulated Data ◽  
Real Data ◽  
Calibration Method ◽  
Multiple Sensors ◽  
Triangular Pyramid ◽  
World Coordinate System ◽  
Flash Lidar ◽  
Novel Method ◽  
3D Information ◽  
Incremental Validation

Calibration between multiple sensors is a fundamental procedure for data fusion. To address the problems of large errors and tedious operation, we present a novel method to conduct the calibration between light detection and ranging (LiDAR) and camera. We invent a calibration target, which is an arbitrary triangular pyramid with three chessboard patterns on its three planes. The target contains both 3D information and 2D information, which can be utilized to obtain intrinsic parameters of the camera and extrinsic parameters of the system. In the proposed method, the world coordinate system is established through the triangular pyramid. We extract the equations of triangular pyramid planes to find the relative transformation between two sensors. One capture of camera and LiDAR is sufficient for calibration, and errors are reduced by minimizing the distance between points and planes. Furthermore, the accuracy can be increased by more captures. We carried out experiments on simulated data with varying degrees of noise and numbers of frames. Finally, the calibration results were verified by real data through incremental validation and analyzing the root mean square error (RMSE), demonstrating that our calibration method is robust and provides state-of-the-art performance.

scholarly journals Development of High Added Value Products from Industrial Minerals for Hybrid Energy Storage

2021 ◽  
Vol 5 (1) ◽  
pp. 31
Author(s):  
Antonis Peppas ◽  
Chrysa Politi
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Phase Change Materials ◽  
Supply And Demand ◽  
Real Data ◽  
Energy Performance ◽  
Added Value ◽  
Industrial Minerals ◽  
Heating And Cooling ◽  
Research Activities

Industrial minerals are at the forefront of innovation and play an essential role in many innovative applications. Their functionalities and properties make them very versatile materials which are essential to many industries. A combination of properties such as heat capacity, density, price, availability, and eco-friendliness are exceptional and crucially advantageous of industrial minerals utilisation as thermal energy storage (TES) systems. This technology stocks thermal energy by heating or cooling a storage medium so that the stored energy can be used at a later time for heating and cooling applications and power generation. In this context, the utilisation of industrial minerals as carriers for impregnating phase change materials (PCM) can deliver new innovative products acting as short-term energy storage systems for construction applications to the market. TES is a technology that can solve the existing mismatch of energy supply and demand and improve buildings’ system performance by smoothing temperature fluctuations, as well as improving the reliability of the heating and/or cooling source. However, the most recent publications in this area are focused on PCM-enhanced building components thermal and kinetics analysis rather than focusing on the building component scale. This study is focused on the industrial minerals-PCM application as part of the building’s envelope, aiming to determine the benefits for buildings in terms of thermal energy performance and renewable energy penetration based on real data, harvested by an intelligent monitored building in Lavrion Technological and Cultural Park operated solely for research activities.

A Novel Method for Rapid Non Destructive Determination of O/W Creams Stability

1982 ◽  
Vol 8 (4) ◽  
pp. 475-485 ◽  
Author(s):  
N. Garti ◽  
S. Magdassi ◽  
A. Rubinstein
Keyword(s):  
Novel Method ◽  
Non Destructive

A Novel Non-Destructive Method for Measuring Elastic Moduli of Cultivated Cartilage Tissues

2007 ◽  
Vol 342-343 ◽  
pp. 853-856 ◽  
Author(s):  
Duk Young Jung ◽  
Yu Bong Kang ◽  
Toshie Tsuchiya ◽  
Sadami Tsutsumi
Keyword(s):  
Mechanical Properties ◽  
Bulk Modulus ◽  
Soft Tissues ◽  
Articular Chondrocytes ◽  
Collagen Gel ◽  
Accuracy And Precision ◽  
Novel Method ◽  
Silicone Rubbers ◽  
High Degree ◽  
Non Destructive

Accurate measurement of the mechanical properties of artificial or cultivated cartilage is a major factor for determining successive regeneration of defective soft tissues. In this study, we developed a novel method that enabled the bulk modulus (k-modulus) to be measured nondestructively using the relationship between volume and pressure of living soft tissues. In order to validate this method we estimated the bulk modulus of soft silicone rubbers using our new method and a conventional method. The results showed a 5 ~ 10% difference between the results obtained with the two methods. Our method was used subsequently to measure the mechanical properties of cultivated cartilage samples (collagen gel type), that had been incubated for four weeks in the presence or absence of human articular chondrocytes (HACs). Our experiments showed that cultivated cartilage tissues grown in the presence of HACs had a higher bulk modulus (120 ± 20 kPa) than samples grown without HACs (90 ± 15 kPa). The results indicated that our novel method offered an effective method for measurement of volume changes in minute living soft tissues, with the measurements having a high degree of accuracy and precision. Furthermore, this method has significant advantages over conventional approaches as it can be used to rapidly and accurately evaluate the strength of soft tissues during cultivation without causing damage to the specimen.

scholarly journals Obtaining the Correspondence Between Bayesian and Neural Networks

1998 ◽  
Vol 12 (07) ◽  
pp. 901-920 ◽  
Author(s):  
A. Stassopoulou ◽  
M. Petrou
Keyword(s):  
Neural Network ◽  
Bayesian Network ◽  
Full Range ◽  
Closed Form Solution ◽  
Real Data ◽  
Form Solution ◽  
Least Square ◽  
Novel Method ◽  
Probability Matrices ◽  
Desertification Assessment

We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we can obtain a correspondence between the two networks by deriving a closed-form solution so that the outputs of the two networks are similar in the least square error sense, not only when determining the discriminant function, but for the full range of their outputs. For this purpose we take into consideration the probability density functions of the independent variables of the problem when we compute the least square error approximation. Our methodoloy is demonstrated with the help of some real data concerning the problem of risk of desertification assessment for some burned forests in Attica, Greece where the parameters of the Bayesian network constructed for this task are successfully estimated given a neural network trained with a set of data.

CHARACTERIZATION OF FRICTION WELDED TITANIUM ALLOY AND STAINLESS STEEL WITH A NOVEL INTERLAYER GEOMETRY

2016 ◽  
Vol 24 (05) ◽  
pp. 1750064
Author(s):  
R. KUMAR ◽  
M. BALASUBRAMANIAN
Keyword(s):  
Stainless Steel ◽  
Research Work ◽  
Metal Loss ◽  
304L Stainless Steel ◽  
Surface Geometry ◽  
Optical Micrograph ◽  
Minimum Number ◽  
Novel Method ◽  
Non Destructive

The main purpose of the current research work is to identify and investigate a novel method of holding an intermediate metal and to evaluate its metallurgical and mechanical properties. Copper was used as an interlayer material for the welding of this dissimilar Ti–6Al–4V (Ti alloy) and 304L stainless steel (SS). The study shows that the input parameters and surface geometry played a very significant role in producing a good quality joints with minimum heat affected zone and metal loss. A sound weld was achieved between Ti–6Al–4V and SS304L, on the basis of the earlier experiments conducted by the authors in their laboratory, by using copper rod as intermediate metal. Box–Behnken method was used for performing a minimum number of experiments for the study. In the present study, Ti–6Al–4V alloy and SS304L were joined by a novel method of holding the interlayer and new surface geometry for the interlayer. Initially, the drop test was used for determining the quality of the fabricated joint and, subsequently, non-destructive techniques like radiography and C-scan were used. Further optical micrograph, SEM–EDS, hardness and tensile test were done for understanding the performance of the joint.

scholarly journals Profile Monitoring and Fault Diagnosis Via Sensor Fusion for Ultrasonic Welding

2019 ◽  
Vol 141 (8) ◽  
Author(s):  
Weihong (Grace) Guo ◽  
Jionghua (Judy) Jin ◽  
S. Jack Hu
Keyword(s):  
Real Data ◽  
Ultrasonic Welding ◽  
Profile Data ◽  
Ultrasonic Metal Welding ◽  
Monitoring And Diagnosis ◽  
Operational Quality ◽  
Vector Projection ◽  
Sensor Signals ◽  
Rich Information ◽  
Metal Welding

Sensor signals acquired during the manufacturing process contain rich information that can be used to facilitate effective monitoring of operational quality, early detection of system anomalies, and quick diagnosis of fault root causes. This paper develops a method for effective monitoring and diagnosis of multisensor heterogeneous profile data based on multilinear discriminant analysis. The proposed method operates directly on the multistream profiles and then extracts uncorrelated discriminative features through tensor-to-vector projection, and thus, preserving the interrelationship of different sensors. The extracted features are then fed into classifiers to detect faulty operations and recognize fault types. The developed method is demonstrated with both simulated and real data from ultrasonic metal welding.

scholarly journals Molecular Cavity Topological Representation for Pattern Analysis: A NLP Analogy-Based Word2Vec Method

2019 ◽  
Vol 20 (23) ◽  
pp. 6019 ◽  
Author(s):  
Dongliang Guo ◽  
Qiaoqiao Wang ◽  
Meng Liang ◽  
Wei Liu ◽  
Junlan Nie
Keyword(s):  
Molecular Dynamics ◽  
Language Processing ◽  
Pattern Analysis ◽  
Real Data ◽  
Molecular Function ◽  
Topological Representation ◽  
Data Set ◽  
Novel Method ◽  
Topological Characteristics

Cavity analysis in molecular dynamics is important for understanding molecular function. However, analyzing the dynamic pattern of molecular cavities remains a difficult task. In this paper, we propose a novel method to topologically represent molecular cavities by vectorization. First, a characterization of cavities is established through Word2Vec model, based on an analogy between the cavities and natural language processing (NLP) terms. Then, we use some techniques such as dimension reduction and clustering to conduct an exploratory analysis of the vectorized molecular cavity. On a real data set, we demonstrate that our approach is applicable to maintain the topological characteristics of the cavity and can find the change patterns from a large number of cavities.

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