Commit 14370396 authored by Michal Maciejewski's avatar Michal Maciejewski
Browse files

Corrected paths of RB and RQ figures to make more lean notebooks

parent 84b7a28a
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<h1><center>Analysis of an FPA in an RB Circuit</center></h1>
<img src = "https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/RB.png" width=75%>
<img src="https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png" width=75%>
source: Powering Procedure and Acceptance Criteria for the 13 kA Dipole Circuits, MP3 Procedure, <a href="https://edms.cern.ch/document/874713/5.1">https://edms.cern.ch/document/874713/5.1</a>
 
%% Cell type:markdown id: tags:
 
# Analysis Assumptions
......@@ -566,11 +566,11 @@
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)
 
%% Cell type:markdown id: tags:
 
# 8. Quench Protection System
<img src = "https://gitlab.cern.ch/LHCData/lhc-sm-apps/raw/master/hwc/rb/figures/RB_QPS_Signals.png" width=75%>
<img src = "https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB_QPS_Signals.png" width=75%>
 
The table below shows the sign of the resistive voltages and inductive voltages (for positive ramp rate) of U1 and U2. U_QS0=-U1-U2.
 
|Circuit |Resistive voltage U1 |Resistive voltage U2 |Inductive voltage U1 |Inductive voltage U2|
|-----------|-----------------------|-----------------------|-----------------------|--------------------|
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PIC2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI1.a2 HWC Test in an RB Circuit</center></h1>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/RB.png\" width=75%>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"A current cycle up and down from I_MIN_OP to I_INJECTION is performed with a short plateau (typically 10 minutes) at highest current. The aim of this test is to check the magnet performance and the QPS calibration at that current level. The current to earth and the current error from the power convertor are checked during the sequence.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI1_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI1.b2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"The current in the circuit is increased to I_INJECTION and shortly maintained constant. A quench simulation from one current lead is performed provoking a discharge of the energy through the EE system. The aim of the test is to check at a low current level the performance of the QPS and EE systems.\n",
"The current in the circuit is increased to I_INJECTION and shortly maintained constant. A quench simulation from one current lead is performed provoking a discharge of the energy through the EE system. The aim of the test is to check at a low current level the performance of the QPS and EE systems.\n",
"\n",
"From 2010 on, a time delay is implemented between the switch opening and the FPA signal received (300 ms at the odd point, 600 ms at the even point).\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI1_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI1.d2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
 
 
"The current in the circuit is increased to I_INJECTION and shortly maintained constant. A powering failure is then generated. After a minute the EE system is activated to rapidly extract the energy of the circuit. The aim of this test is to verify the correct functionality of the PC when a powering failure occurs.\n",
"The required analysis and signatures are listed below.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI1_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI2.b2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
 
 
"The aim of this test is to check the performance of the QPS and EE systems and the correct current sharing in the different FWT. The current to earth and the current error from the PC are checked during the sequence.\n",
"From May 2011 on, two options are available for the PLI2.B2 sequence. The quench simulation from a current lead is performed from I_INJECTION current plateau or a PIC_Discharge_Request is performed during the ramp close to I_INJECTION current.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI2_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of a PLI2.s1 HWC in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/RB.png\" width=75%>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"The current in the circuit is ramped up from I_MIN_OP to I_INTERM_1, with three current plateaus at intermediate levels (I_INJECTION, I_INTERM_INT_4, I_INTERM_INT_6). The current is maintained constant at each current level during TIME_INTERM_1.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI2_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of a PLI3.a5 HWC in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/RB.png\" width=75%>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"PLI3.A2 is a simple current cycle at I_INTERM_2 during TIME_INTERM_2, while PLI3.A5 is a current cycle with 2 current levels (I_SM, I_INTERM_2) during TIME_INTERM_2 each. PLI3.A5 can be performed with calorimetric measurement (original purpose). In case of calorimetric measurement, the cryogenic cooling must be stable and maintained constant during the whole cycle. The aim of this test is to check the performance of the current leads and also the splices resistance, and, in case of calorimetric measurements, to detect abnormal heating in the magnets environment.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI3_current.png\" width=50%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI3.d2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
 
 
"The circuit is powered up to I_INTERM_2. After a short plateau a powering failure is simulated by the power converter. After a minute the EE system is activated by a quench simulation in a current lead.\n",
"The aim of this test is to verify the correct functionality of the PC when a powering failure is generated.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLI3_current.png\" width=50%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLIM.b2 HWC Test in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"This test was added in 2011 HWC campaign after the installation of the snubber capacitors on the EE system. Some additional data acquisition equipment may be required for this test (ask EE expert). The aim of this test is to check the functionality of the snubber with enough energy in the circuit.\n",
"This test was added in 2011 HWC campaign after the installation of the snubber capacitors on the EE system. Some additional data acquisition equipment may be required for this test (ask EE expert). The aim of this test is to check the functionality of the snubber with enough energy in the circuit.\n",
"\n",
"The current is then ramped up to I_SM_INT_4. From the plateau a quench simulation from a current lead is provoked.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLIM_current.png\" width=50%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of a PLIS.s2 HWC in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"This test has been inserted (from version 1.1 on) in order to check the status of the splices step-wise while ramping the circuit up and down to I_SM current.\n",
"This test has been inserted (from version 1.1 on) in order to check the status of the splices step-wise while ramping the circuit up and down to I_SM current.\n",
"\n",
"From I_MIN_OP, the circuit is ramped up to different current level (I_SM_INT_1, I_SM_INT_2, I_SM_INT_3, I_SM_INT_4, I_SM) and maintained constant at each current level during TIME_INTERM_1.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PLIS_current.png\" width=50%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of a PNO.a6 HWC in an RB Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png\" width=75%>\n",
"\n",
"Before performing this test, PNO.B2 must be passed and validated.\n",
"Before performing this test, PNO.B2 must be passed and validated.\n",
"PNO.A2 is a simple current cycle at I_PNO during TIME_PNO, while PNO.A6 is a current cycle with two current levels (I_PNO_INTERM, I_PNO) during TIME_INTERM_2 and TIME_PNO respectively. PNO.A6 can be performed with calorimetric measurement (original purpose). In case of calorimetric measurement, the cryogenic cooling must be stable and maintained constant during the whole cycle. The aim of this test is to check the performance of the current leads and the stability of the circuit at I_PNO, and, in case of calorimetric measurements, to detect abnormal heating in the magnets environment.\n",
"The current to earth and the current error from the power converter are checked during the sequence.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PNO_current.png\" width=50%>\n",
"\n",
......
%% Cell type:markdown id: tags:
 
<h1><center>Analysis of a PNO.b2 HWC in an RB Circuit</center></h1>
<img src = "https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/RB.png" width=75%>
<img src = "https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/RB.png" width=75%>
 
The circuit is powered up to I_PNO + a current margin (I_DELTA). I_PNO is considered as the maximum current which can be used for the operation after the commissioning. During the HWC a current margin will be added for this test. Depending on the I_PNO level, training quenches of the dipole magnets may occur. Even if the test is considered as failed, each system (PC, QPS, magnet...) must be analysed before launching another test run.
After each test resulting in a quench, the MP3 will decide on continuation of the tests, not only taking into account the objective to be reached, but also speed of the training, and the currents reached in the other sectors.
If the I_PNO+I_DELTA current level is reached, an EE is provoked from the plateau.
During this test, the performance of each equipment must be checked
 
<img src="https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rb/figures/PNO_current.png" width=50%>
<img src="https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rb/PNO_current.png" width=50%>
 
The required analysis and signatures are listed below.
 
|Responsible|Type of analysis|Criterion|
|-----------|----------------|---------|
......
%% Cell type:markdown id: tags:
 
<h1><center>Analysis of an FPA in an RQ Circuit</center></h1>
<img src="https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rq/figures/RQ.png" width=75%>
<img src="https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png" width=75%>
source: Test Procedure and Acceptance Criteria for the 13 kA Quadrupole (RQD-RQF) Circuits, MP3 Procedure, <a href="https://edms.cern.ch/document/874714/5.1">https://edms.cern.ch/document/874714/5.1</a>
 
%% Cell type:markdown id: tags:
 
# Analysis Assumptions
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PIC2 HWC Test in an RQ Circuit</center></h1>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI1.b3 HWC Test in an RQ Circuit</center></h1>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rq/figures/RQ.png\" width=75%>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
"\n",
"The current in the circuit is increased to I_INJECTION and maintained constant. A quench simulation from one current lead is performed provoking a discharge of the energy through the EE system. The aim of the test is to check at a low current level the performance of the QPS and EE systems.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/PLI1_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI1.d2 HWC Test in an RQ Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rq/figures/RQ.png\" width=75%>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
"\n",
"The current in the circuit is increased to I_INJECTION and maintained constant. A powering failure is then generated. The aim of this test is to verify the correct functionality of the PC when a powering failure occurs.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/PLI1_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI2.b3 HWC Test in an RQ Circuit</center></h1>\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
 
 
"The aim of this test is to check the performance of the QPS and EE systems and the correct current sharing in the different FWD. The current to earth and the current error from the PC are checked during the sequence.\n",
"Before starting the test, ask the QPS/EE expert if a QPS/EE field team is needed to install measurement equipment in the tunnel.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/PLI2_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of a PLI2.s1 HWC in an RQ Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/rq/figures/RQ.png\" width=75%>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
"\n",
"The current in the circuit is ramped up from I_MIN_OP to I_INTERM_1, with three current plateaus at intermediate levels (I_INJECTION, I_INTERM_INT_4, I_INTERM_INT_6). The current is maintained constant at each current level during TIME_INTERM_1.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/PLI2_current.png\" width=75%>\n",
"\n",
......
{
"cells": [
{
 
 
"metadata": {},
"source": [
"<h1><center>Analysis of PLI3.a5 HWC Test in an RQ Circuit</center></h1>\n",
"<img src = \"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/RQ.png\" width=75%>\n",
 
 
"PLI3.A5 is a current cycle with 2 current levels (I_SM, I_INTERM_2) during TIME_INTERM_2 each. PLI3.A5 can be performed with calorimetric measurement (original purpose). In case of calorimetric measurement, the cryogenic cooling must be stable and maintained constant during the whole cycle. The aim of this test is to check the performance of the current leads, and, in case of calorimetric measurements, to detect abnormal heating in the magnets environment.\n",
"The current to earth and the current error from the power convertor are checked during the sequence.\n",
"\n",
"<img src=\"https://gitlab.cern.ch/LHCData/lhc-sm-hwc/raw/master/figures/rq/PLI3_current.png\" width=75%>\n",
"\n",
......
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