Cholangiopancreatography troubleshooting:the usefulness of endoscopic retrieval of migrated biliary and pancreatic stents

BACKGROUND:Stent migration in the hepatopancreatic duct might arise as one of the rare complications associated with biliary or pancreatic stenting.Although there are some procedures to retrieve the migrated stent,including surgical,percutaneous,and endoscopic approaches,endoscopy should be attempted first because it is least invasive.This study set out to evaluate the usefulness of endoscopic retrieval of migrated biliary and pancreatic stents.METHODS:Plastic stents that migrated in the bile duct(35 patients)or pancreatic duct(2)were retrieved with endoscopic retrograde cholangiopancreatography.Devices used were snare forceps,a basket catheter,grasping forceps,biopsy forceps,a balloon catheter,and the Soehendra stent retriever.RESULTS:Endoscopic retrieval of migrated stents was performed successfully in 36(97.0%)of the 37 patients.The devices utilized for successful treatment were basket catheter(13 patients),grasping forceps(10),snare forceps(8),balloon catheter(3),biopsy forceps(1),and the Soehendra stent retriever(1).The unsuccessfully treated patient with chronic pancreatitis underwent surgery since the guide wire did not move forward due to bile duct stenosis,and there was also duodenal stenosis.One patient developed mild pancreatitis after withdrawal of the stent;the pancreatitis was relieved with conservative treatment.CONCLUSIONS:Endoscopic retrieval of migrated biliary and pancreatic stents appears to be useful because of its safety and low invasiveness.However,various forceps should be prepared for the retrieval of a migrated stent.

Troubleshooting Distillation Column by Gamma Ray Scanning Technique

A digitally controlled three-dimensional gamma-scanning apparatuswas developed and used to trou- bleshoot distillation column is thepresent investigation. In a 140 mm (ID) model column, variousmalfunctional phenomena, both rate and process related conditions andstructural problems, which may be frequently encountered in theoperation of tray and packing columns, were experimentally simulatedand tested with the developed scan- ning system. The experimentalresults showed that the scanning spectra can fairly reflect thesimulated phenomena.

Troubleshooting algorithm for solving assignment problem and its applications

A new troubleshooting algorithm for solving assignment problem based on existing algorithms is proposed, and an analysis on the related theory is given. By applying the new troubleshooting algorithm to the Lagrange relaxation algorithm of the multi-dimensional assignment problem of data association for multi-passive-sensor multi-target location systems, and comparing the simulation results with that of the Hungarian algorithm which is the classical optimal solving algorithm, and the multi-layer ordersearching algorithm which is a sub-optimal solving algorithm, the performance and applying conditions of the new algorithm are summarized. Theory analysis and simulation results prove the effectiveness and superiority of the new algorithm.

Distillation Troubleshooting： Using a Wide Range of Engineering Skills for a Sustainable Process Improvement

A new method for the fast detection and evaluation of optimization potentials for separation processes is presented within this work. The method disclaims the application of difficult rigorous mathematical optimization techniques by a number of different smart workarounds. The basis for the optimization is the application of different heuristics, shortcut methods and simulation studies. The method was applied to a real process in which the overall yield was improved of about 58%. Due to the new configuration an alternative control scheme containing unusual control loops was implemented.

Industrial Equipment Troubleshooting with Imaging Technique Improved Gamma-Ray Absorption Scans

Gamma scanning is one of the most common nuclear techniques on troubleshooting industrial equipments like distillation columns and reactors. With a very simple concept, the technique is easy to implement. Searching for a competitive edge the industry has been long developing solutions to achieve better results. On the last decades, significant development has been done with the advent of new equipments, electronics, portable computers and software. Continuous scanning and wireless detection systems are examples of successful field solutions, while new software aid on reporting and data presentation. However the type and quality of the results itself has not dramatically changed since its beginning. A scan profile is simple to understand, although the process to build it can be very complex as it requires a specific blend of knowledge and abilities. Process engineering, chemical engineering, internal hydraulic project, nuclear engineering and field abilities are pre requisites for of any scan specialist. Correct data gathering, interpretation and reporting are abilities often difficult to match or requires a long time of training. The industry faces a similar difficult on the customer side, as it is always necessary to train end users to understand a report and how to use its best. This paper describes our effort on developing a new approach on the gamma scan test using image reconstruction techniques that would result on a graphic image rather than a XY plot. Direct and easier to understand, a report with graphic images would be also be accessible to a wider audience, not limited to the customers experienced with gamma scan interpretation.

Comparing Machine Learning Algorithms for Improving the Maintenance of LTE Networks Based on Alarms Analysis

Mobile network operators are facing many challenges to satisfy their subscribers in terms of quality of service and quality of experience provided. To achieve this goal, technological progress and scientific advances offer good opportunities for efficiency in the management of faults occurring in a mobile network. Machine learning techniques allow systems to learn from past experiences and can predict, solutions to be applied to correct the root cause of a failure. This paper evaluates machine learning techniques and identifies the decision tree as a learning model that provides the most optimal error rate in predicting outages that may occur in a mobile network. Three machine learning techniques are presented in this study and compared with regard to accuracy. This study demonstrates that the appropriate machine learning technique improves the accuracy of the model. By using the decision tree as a machine learning model, it was possible to predict solutions to network failures, with an error rate less than 2%. In addition, the use of Machine Learning makes it possible to eliminate steps in the network failure processing chain;resulting in reduced service disruption time and improved the network availability which is a key network performance index.

Development of the Mechanical System on a Third-Generation Industrial Computed Tomography Scanner in Brazil

The development of measurement geometry for medical X-ray computed tomography （CT） scanners was carried out from the first to the fourth-generation. This concept has also been applied for imaging of industrial processes such as pipe flows or for improving design, operation, optimization and troubleshooting. Nowadays, gamma CT permits to visualize failure equipment points in three-dimensional analysis and in sections of chemical and petrochemical industries. The aim of this work is the development of the mechanical system on a third-generation industrial CT scanner to analyze laboratorial process columns which perform highly efficient separation, turning the ^6oCo, ^75Se, ^137Cs and/or ^192Ir sealed gamma-ray source（s） and the NaI（Tl） multidetector array. It also has a translation movement along the column axis to obtain as many slices of the process flow as needed. The mechanical assembly for this third-generation industrial CT scanner is comprised by strength and rigidity structural frame in stainless and carbon steels, rotating table, source shield and collimator with pneumatic exposure system, spur gear system, translator, rotary stage, drives and stepper motors. The use of suitable spur gears has given a good repeatability and high accuracy in the degree of veracity. The data acquisition boards, mechanical control interfaces, software for movement control and image reconstruction were specially development. A multiphase phantom capable to be setting with solid, liquid and gas was testing. The scanner was setting for 90 views and 19 projections for each detector totalizing 11,970 projections. Experiments to determine the linear attenuation coefficients of the phantom were carried out which applied the Lambert-Beer principle. Results showed that it was possible to distinguish between the phases even the polymethylmethacrylate and the water have very similar density and linear attenuation coefficients. It was established that the newly developed third-generation fan-beam arrangement gamma scanner unit has a good spatial resolution acceptable given the size of the used phantom in this study. The tomografic reconstruction algorithm in used 60 ~ 60 pixels images was the Alternative Minimization （AM） technique and was implemented in MATLAB and VB platforms. The mechanical system presented a good performance in terms of strength, rigidity, accuracy and repeatability with great potential to be used for education or program which dedicated to training chemical and petrochemical industry professionals and for industrial process optimization in Brazil.

Diagnostic Method for Beam Position Monitor Based on Clustering by Fast Search and Find of Density Peaks

Beam position monitors(BPMs)are important to monitor the beam moving steadily.Keeping the beam's normal motion is an important mission for Shanghai Synchrotron Radiation Facility.Effective diagnostic analysis is an important way to accomplish this task.This paper develops a new method based on clustering analysis to diagnose the healthy of BPMs with basic running data,i.e.,the β oscillation of X and Y directions and noise data.The analysis results showed that all beam position monitors(140 BPMs)can be classified into three groups:normal group,worse performance group,and fault group,respectively.In addition,the abnormal BPMs(including worse performance)could be marked.The new method showed its ability to handle faulty BPMs and it could instruct daily maintenance.On the other hand,it will be a useful supplement for data analysis in accelerator physics.