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Diagnostics [clear filter]
Tuesday, May 14
 

10:30am

Robot Manipulator Drive Fault Diagnostics using Data-Driven and Analytical Modelling
Belt-driven mechatronic systems are becoming more popular for a range of applications. A modified robotic manipulator was adapted to allow different faults to be incorporated into the mechanism, with additional sensors to characterize the compromised kinematics. Different data-driven models were used to detect anomalies in motor power consumption and end-effector motion; and a physics-based, lumped-parameter dynamic model was used to identify different faults. Comparative assessment metrics were used to compare the performance of different fault models from sets of laboratory test data.

Speakers
avatar for Michael Lipsett

Michael Lipsett

Professor, University of Alberta


Tuesday May 14, 2019 10:30am - 11:00am
Freedom Ballroom I

11:00am

Modern Laser Applications for Improving Machine Reliability
Speakers
RS

Ronaldo Sullivan

Hamar Laser Instruments Inc.


Tuesday May 14, 2019 11:00am - 11:30am
Freedom Ballroom I

1:30pm

Vibration Acceptance testing of Rotodynamic Pumps - ANSI/HI 9.6.4 Standard
Speakers
avatar for Peter Gaydon

Peter Gaydon

Technical Director, Hydraulic Institute
Peter Gaydon is the Director of Technical Affairs at the Hydraulic Institute. Mr. Gaydon held design, development, and test engineering positions with major pump manufacturers prior to joining the Hydraulic Institute. With the Hydraulic Institute, Mr. Gaydon has technical responsibility... Read More →


Tuesday May 14, 2019 1:30pm - 2:00pm
Freedom Ballroom I

2:00pm

Recurrence Quantification Analysis for Identification of Cracks in Rotating Shafts
Maintenance costs constitute a major part of operating costs in any industry. This has motivated industries to adopt best machine condition monitoring techniques so that costs can be reduced and productivity can be increased. In many rotating machinery system, shaft cracks are frequent and serious malfunctions that may lead to catastrophic failure and financial loss. Fault detection techniques are crucial for safe and reliable machinery and the demand for timely and accurate detection is increasing day by day. Shaft crack detection is an especially critical task due to the complex operating conditions that shafts are subjected to. One of the shaft crack detection approaches is vibration and acoustics monitoring, which can be implemented in an automated fashion.
This paper presents the application of recurrence plots (RPs) and recurrence quantification analysis (RQA) in the diagnostics of various rotating shaft cracks. The RP is a two-dimensional visualization technique to investigate high-dimensional dynamical systems. It identifies the times when the state space trajectory of the dynamical system visits roughly the same area in the state space. On the other hand, RQA offers a more objective and quantitative method for the investigation of dynamical systems, which will represent the extracted features that characterize the system response. In addition, RPs and RQA are a modern tool for nonlinear data analysis, which enables us to investigate the various responses of the system (i.e., periodic, quasi periodic and chaotic) and provides valuable information about the dynamics of the system. The computed RQA features are ranked and the optimal set is selected using mutual information. Finally, an artificial neural network is used as a classifier to distinguish between the different shaft conditions.

A laboratory scale rotor test bed was used to investigate shaft crack detection techniques under controlled conditions. The study was implemented on a shaft that was seeded with two damage conditions produced by a crack propagator over 24-hour and 48-hour time periods. The horizontal and vertical displacements were measured for each shaft condition using proximity probes.

The study demonstrates that the RQA provides rich information about the status of the health of the shaft. Furthermore, results show an outstanding performance of the RQA in shaft crack detection with minimal knowledge about the dynamic response of the system.

Speakers
FN

Foad Nazari

Post-Doctoral Research Fellow, Villanova University


Tuesday May 14, 2019 2:00pm - 2:30pm
Freedom Ballroom I

2:30pm

The Diagnosis of Machinery through Use of Physics-Based Algorithms
The diagnosis of rotating and reciprocating machinery has been an area of active research for several decades, for both commercial and military equipment. Most researchers are knowledgeable concerning instrumentation and signal analysis algorithms, but not as experienced with the 'physiology' of various machinery, the details and dynamical behavior of which can be quite complex. Therefore, the tendency has been to use either simple rule-based look-up tables, or in the other extreme ti apply adaptive learning, neural nets, or other data-driven statistics-based approaches that look for anomalies in a manner that attempts to be machine-agnostic. These approaches can be useful in some applications. However, the authors suggest that a superior approach is the use of physics-based set of algorithms that are based on the mechanical and fluid-dynamic (or electrical for motors/generators) details of the machinery in question. Some examples are provided of such algorithms that have application over broad classes of machinery. It is demonstrated how such as approach can be blended with ISO standards based constraints and guidelines to provide software that can mimic much of what an experienced machinery engineer or technician would 
conclude from a given data set. Examples of machinery successfully diagnosed by the approach will be given.

Speakers
avatar for Bill Marscher

Bill Marscher

President & Technical Director, Mechanical Solutions


Tuesday May 14, 2019 2:30pm - 3:00pm
Freedom Ballroom I

3:30pm

Diagnostic Applications of Motion Amplified Video
At the MFPT Conference two years ago, the machinery community got its first exposure to the concept of motion amplified video. Since then, at least three organizations have been developing commercial systems that employ one of two approaches, either the so-called Lagrangian Approach, or the so-called Eulerian Approach. With either approach, the concept is to capture high speed video which can then be displayed in slow motion, but more importantly which permits displacements of the order of microns to be amplified so that the physical vibration motion can be easily seen in the video of the operation of the actual components. The authors have been using both approaches in the field and lab,  but in their own software developments have concentrated on the Eulerian, because of its ability to better resolve small displacements, which are especially important at the higher frequencies typical of vibrations in certain machinery such as high speed compressors, steam turbines, and gas turbines. Some of the pros and cons versus Operating Deflection Shape testing using accelerometers will be described, and use on specific machinery examples will be provided.

Speakers
avatar for Bill Marscher

Bill Marscher

President & Technical Director, Mechanical Solutions


Tuesday May 14, 2019 3:30pm - 4:00pm
Freedom Ballroom I

4:00pm

Bathtub, Failure Distribution, MTBF, MTTF, and More: They are Related
This paper describes the relationship between a bathtub curve, failure distributions, and commonly used, but often misunderstood and misapplied, metrics such as the following: mean-time-before failure (MTBF), mean-time-between failure (MTBF), mean-time-to failure (MTTF), and other related terms. A bathtub curve for an object is related to a failure-distribution curve for that object, and when combined, a continuous curve is created. That curve has commonly named regions: infant-mortality, constant-failure, and wear-out, which comprises two subregions that I call degraded-operation and functional-failure. Associated with those curves are numerous metrics that are sometimes misunderstood and misused such as the following: failure rate, prognostic trigger point, prognostic distance (PD), MTBF (two meanings), MTTF, failures-in-time (FIT), and life time (reliability).

Speakers
TH

Tom Heiser

President & CEO, Ridgetop Group Inc


Tuesday May 14, 2019 4:00pm - 4:30pm
Freedom Ballroom I

4:30pm

Aerial Manipulation for Remote Robotic Machinery Diagnostics
There is a growing trend of using unmanned aerial vehicles (UAVs, or drones) for inspection of industrial facilities and infrastructure. The types of inspections currently done entail remote sensing using cameras: qualitative assessment and photogrammetry using standard cameras, as well as temperature monitoring using thermal imaging cameras. The benefits of using drones are to reduce risk to inspection personnel near operating equipment, reduced cost, and improved auditability of archived data. Machine condition monitoring can benefits from this enabling technology provided that vibration monitoring and lubricant analysis can also be done remotely. Laser vibrometers can be used for remote monitoring of equipment that does not have permanently mounted, dedicated vibration monitoring sensors; but this sensing method is capital intensive, requires a laser head and controller with a typical mass of over 5 kg, and must be pointed from an appropriate direction, which may not be accessible. Lubricant analysis requires access to a lubricant sampling port and a means for collecting and analyzing the sample. A system is described for deploying a drone with a manipulator that engages the equipment of interest for vibration data collection. The same system can use a similar payload for drop-tube vacuum sampling of lubricant by inserting a tube through a fill port or dip stick port and withdrawing an oil sample from the sump cavity. The key technical challenges are collision-free navigation and hovering, followed by control of dynamic deployment of the payload that connects to the machinery. A proof-of-concept system is described with experimental results.

Speakers
avatar for Michael Lipsett

Michael Lipsett

Professor, University of Alberta


Tuesday May 14, 2019 4:30pm - 5:00pm
Freedom Ballroom I
 
Thursday, May 16
 

10:30am

Inner and Outer Race Bearing Fault Analysis in a Permanent Magnet Motor
Speakers
avatar for Suri Ganeriwala

Suri Ganeriwala

Founder and President, SpectraQuest
Dr. Suri Ganeriwala is founder and president of Spectra Quest, Inc. He has over thirty-five years of industrial and academic experience in machinery vibration diagnostics and control, signal processing, and viscoelastic materials characterization. Suri has worked for Philip Morris... Read More →


Thursday May 16, 2019 10:30am - 11:00am
Freedom Ballroom V