The quality of threaded pipe connections is one of the key quality characteristics of drill pipes, risers, and pipelines. This quality characteristic is evaluated mainly by a pair of critical points, which are corresponding to the mechanical deformations formed in the pipe connection process. However, these points are difficult to detect because of nonlinear patterns generated by latent process factors in torque signals, which conceal the true critical points. To address this problem, we propose a novel three-phase state-space model that incorporates physical interpretations of connection process to detect pairwise critical points. We also develop a two-stage recursive particle filter to estimate the locations of the underlying critical points. Results of a real threaded pipe connection case show that the detection performance of the proposed method is more powerful than that of other existing methods.

References

References
1.
Yuan
,
G.
,
Yao
,
Z.
,
Wang
,
Q.
, and
Tang
,
Z.
,
2006
, “
Numerical and Experimental Distribution of Temperature and Stress Fields in API Round Threaded Connection
,”
Eng. Failure Anal.
,
13
(
8
), pp.
1275
1284
.
2.
ASTM
,
2016
, “
Standard Practice for Guided Wave Testing of Above Ground Steel Pipework Using Piezoelectric Effect Transduction
,” ASTM International, West Conshohocken, PA, Standard No.
ASTM E2775-16
.https://www.astm.org/Standards/E2775.htm
3.
ASTM
,
2013
, “
Standard Practice for Guided Wave Testing of Above Ground Steel Piping With Magnetostrictive Transduction
,” ASTM International, West Conshohocken, PA, Standard No.
ASTM E2929-13
.https://www.astm.org/Standards/E2929.htm
4.
ASTM
,
2012
, “
Standard Practice for Leak Detection and Location Using Surface-Mounted Acoustic Emission Sensors
,” ASTM International, West Conshohocken, PA, Standard No.
ASTM E1211/E1211M-12
.https://www.astm.org/Standards/E1211.htm
5.
API
,
1999
, “
Recommended Practice for Care and Use of Casing and Tubing
,” American Petroleum Institute, Washington, DC, Standard No.
API RP 5C1
.https://global.ihs.com/doc_detail.cfm?document_name=API%20RP%205C1
6.
API
,
2003
, “
Recommended Practice on Procedures for Testing Casing and Tubing Connections
,” American Petroleum Institute, Washington, DC, Standard No.
API RP 5C5
.http://www.techstreet.com/standards/api-rp-5c5?product_id=1940216
7.
Ruehmann
,
R.
, and
Ruark
,
G.
,
2011
, “
Shoulder Yielding Detection During Pipe Make Up
,”
Offshore Technology Conference
(OTC), Houston, TX, May 2–5, SPE Paper No.
OTC-21874-MS
.
8.
Vam Services
,
2016
, “
VAM Book
,” Vallourec Oil and Gas France, Aulnoye-Aymeries, France, accessed June 13, 2017, http://www.vamservices.com/Library/files/VAM%C2%AE%20Book.pdf
9.
Du
,
J.
, and
Zhang
,
X.
,
2016
, “
A Critical Change Point Detection Method in Threaded Steel Pipe Connection Processes Using Two Stage Sequential Piecewise Linear Approach
,”
ASME
Paper No. MSEC2016-8757.
10.
Page
,
E. S.
,
1961
, “
Cumulative Sum Charts
,”
Technometrics
,
3
(
1
), pp.
1
9
.
11.
Picard
,
D.
,
1985
, “
Testing and Estimating Change-Points in Time Series
,”
Adv. Appl. Probab.
,
17
(
4
), pp.
841
867
.
12.
Choi
,
H.
,
Ombao
,
H.
, and
Ray
,
B.
,
2008
, “
Sequential Change-Point Detection Methods for Nonstationary Time Series
,”
Technometrics
,
50
(
1
), pp.
40
52
.
13.
Menne
,
M. J.
, and
Williams
,
C. N.
, Jr.
,
2005
, “
Detection of Undocumented Changepoints Using Multiple Test Statistics and Composite Reference Series
,”
J. Clim.
,
18
(
20
), pp.
4271
4286
.
14.
Basseville
,
M.
, and
Nikiforov
,
I. V.
,
1993
,
Detection of Abrupt Changes: Theory and Application
,
Prentice Hall
,
Englewood Cliffs, NJ
.
15.
Wells
,
L. J.
,
Shafae
,
M. S.
, and
Camelio
,
J. A.
,
2016
, “
Automated Surface Defect Detection Using High-Density Data
,”
ASME J. Manuf. Sci. Eng.
,
138
(
7
), p.
071001
.
16.
Wu
,
J.
,
Chen
,
Y.
,
Zhou
,
S.
, and
Li
,
X.
,
2016
, “
Online Steady-State Detection for Process Control Using Multiple Change-Point Models and Particle Filters
,”
IEEE Trans. Autom. Sci. Eng.
,
13
(
2
), pp.
688
700
.
17.
Wu
,
J.
,
Chen
,
Y.
, and
Zhou
,
S.
,
2016
, “
On-Line Detection of Steady State Operation Using a Multiple Change-Point Model an Exact Bayesian Inference
,”
IIE Trans.
,
48
(
7
), pp.
599
613
.
18.
Hou
,
Y.
,
Wu
,
J.
, and
Chen
,
Y.
,
2016
, “
Online Steady State Detection Based on Rao-Blackwellized Sequential Monte Carlo
,”
Qual. Reliab. Eng. Int.
,
32
(
8
), pp.
2667
2683
.
19.
Harchaoui
,
Z.
, and
Lévy-Leduc
,
C.
,
2010
, “
Multiple Change-Point Estimation With a Total Variation Penalty
,”
J. Am. Stat. Assoc.
,
105
(
492
), pp.
1480
1493
.
20.
Lund
,
R.
, and
Reeves
,
J.
,
2002
, “
Detection of Undocumented Change Points: A Revision of the Two-Phase Regression Model
,”
J. Clim.
,
15
(
17
), pp.
2547
2554
.
21.
Hawkins
,
D. M.
,
2001
, “
Fitting Multiple Change-Point Models to Data
,”
Comput. Stat. Data Anal.
,
37
(
3
), pp.
323
341
.
22.
Mehrabi
,
M. G.
, and
Kannatey-Asibu
,
E.
, Jr.
,
2002
, “
Hidden Markov Model-Based Tool Wear Monitoring in Turning
,”
ASME J. Manuf. Sci. Eng.
,
124
(
3
), pp.
651
658
.
23.
Shao
,
C.
,
Kim
,
T. H.
,
Hu
,
S. J.
,
Jin
,
J. J.
,
Abell
,
J. A.
, and
Spicer
,
J. P.
,
2015
, “
Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries
,”
ASME J. Manuf. Sci. Eng.
,
138
(
5
), p.
051005
.
24.
Rao
,
P.
,
Bukkapatnam
,
S.
,
Beyca
,
O.
,
Kong
,
Z. J.
, and
Komanduri
,
R.
,
2014
, “
Real-Time Identification of Incipient Surface Morphology Variations in Ultraprecision Machining Process
,”
ASME J. Manuf. Sci. Eng.
,
136
(
2
), p.
041008
.
25.
Wu
,
J.
,
Zhou
,
S.
, and
Li
,
X.
,
2013
, “
Acoustic Emission Monitoring for Ultrasonic Cavitation Based Dispersion Process
,”
ASME J. Manuf. Sci. Eng.
,
135
(
3
), p.
031015
.
26.
Rao
,
P. K.
,
Liu
,
J. P.
,
Roberson
,
D.
,
Kong
,
Z. J.
, and
Williams
,
C.
,
2015
, “
Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors
,”
ASME J. Manuf. Sci. Eng.
,
137
(
6
), p.
061007
.
27.
Zhuang
,
Y.
,
Gao
,
L.
,
Lu
,
X.
,
Chen
,
B.
,
Zhou
,
Y.
, and
Yuan
,
P.
,
2015
, “
Make-Up Torque Calculation and Analysis of Gas Sealing Joint
,”
J. East China Univ. Sci. Technol. (Sci. Technol. Ed.)
,
41
(
4
), pp.
575
580
.
28.
Xu
,
H.
,
Shi
,
T.
, and
Zhang
,
Z.
,
2014
, “
Theoretical Analysis on Makeup Torque in Tubing and Casing Premium Threaded Connections
,”
J. Southwest Pet. Univ. (Sci. Technol. Ed.)
,
36
(
5
), pp.
160
168
.
29.
Chen
,
S. J.
,
An
,
Q.
,
Zhang
,
Y.
, and
Li
,
Q.
,
2011
, “
Research on the Calculation Method of Tightening Torque on P-110S Threaded Connections
,”
ASME J. Pressure Vessel Technol.
,
133
(
5
), p.
051207
.
30.
Baragetti
,
S.
, and
Terranova
,
A.
,
2004
, “
Effects of Over-Torque on Stress Relief in Conical Threaded Connections
,”
ASME J. Mech. Des.
,
126
(
2
), pp.
351
358
.
31.
Doucet
,
A.
, and
Johansen
,
A. M.
,
2009
, “
A Tutorial on Particle Filtering and Smoothing: Fifteen Years Later
,”
Handbook of Nonlinear Filtering
, Vol.
12
, D. Crisan and B. Rozovsky, eds., Oxford University Press, Northants, UK, pp.
656
704
.
32.
Thrun
,
S.
,
Burgard
,
W.
, and
Fox
,
D.
,
2005
,
Probabilistic Robotics
,
MIT Press
, London.
33.
Kong
,
A.
,
Liu
,
J. S.
, and
Wong
,
W. H.
,
1994
, “
Sequential Imputations and Bayesian Missing Data Problems
,”
J. Am. Stat. Assoc.
,
89
(
425
), pp.
278
288
.
34.
Torma
,
P.
, and
Szepesvari
,
C.
,
2004
, “
Enhancing Particle Filters Using Local Likelihood Sampling
,”
European Conference on Computer Vision
(
ECCV
), Prague, Czech Republic, May 11–14, pp. 16–27.
35.
Smith
,
A. F.
, and
Gelfand
,
A. E.
,
1992
, “
Bayesian Statistics Without Tears: A Sampling–Resampling Perspective
,”
Am. Stat.
,
46
(
2
), pp.
84
88
.
36.
Cochran
,
W. G.
,
2007
,
Sampling Techniques
,
Wiley
, New York.
37.
Bethea
,
R. M.
, and
Rhinehart
,
R. R.
,
1991
,
Applied Engineering Statistics
,
CRC Press
, Boca Raton, FL.
You do not currently have access to this content.