# RETRACTED: Using Data Mining Methods for Predicting Sequential Maintenance Activities
## 3 The Proposed Model
### Generation of Frequent Spare Parts Groups
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Maintenance** & **Spare Part Code** & **Part Description** \\ \hline \multirow{4}{*}{POWER SECTION} & 490040037 (S11) & FANOX ELECTRONIC MOTOR PROTECTION RELAY \\  & 490080064 (S12) & ELECTRICAL SPARES FOR AUTOMATIC BUFFING \\  & 499120322 (S13) & 4 POLE, 440 VOLPs, 50 CYCLES, 40 AMPS \\  & 490040016 (S14) & ELECTRONIC LIMIT SWIRIGH GW 2-000G-ITEM \\  & 49000879 (S15) & GASKET 16.5731280.7 PTRD 400V \\  & 490030120 (S16) & DOUBLE SOLENOVID VALUE FOR 220V AC MOTOR \\ \hline \multirow{4}{*}{LOOSE FIXING AND NOISE} & 497030005 (S21) & HEATER PLATE BOLIS AND NUTS SIZE: 6 MM D \\  & 497030054 (S22) & SPECIAL BOLT AND NUT FOR BTRCLAMPS AS P \\  & 499120217 (S23) & BTR CLAMP 2 11 INCH WITH NECESARY BOLT \\  & 499140003 (S24) & LINK BOLT WITH SELF LOCKING NUT FOR TI/RI \\  & 499140107 (S25) & LINK BOLT WITH SELF LOCKING NUT AND WASH \\  & 499140110 (S26) & LINK BOLIS OF SIZE 15.9 MM DIA X 66.5 MM \\  & 499150142 (S27) & 8.8 GROLE BOLT AND NUTS OF SIZE 24x60 MM \\  & 499180010 (S28) & FISH PLATE BOLIS TYPE-II WITH NUTS SIZE \\  & 499180011 (S29) & NOSE PIECE, BOLT and NUT AS PER \\ \hline \multirow{4}{*}{IDLER MAINTENANCE (M03)} & 499130207 (S31) & SIDE TRUGCHING IDLER SIZE 159 MM \\  & 499130409 (S32) & DIA X 1100 MM LONG \\  & 499130409 (S32) & CENTRE PROUGHING IDLER SIZE 159 MM \\  & 499130211 (S33) & DIA X 1100 MM LOS \\  & 49914003 (S34) & LINK BOLT WITH SELF LOCKING NUT FOR ALL IDLERS \\  & 499140108 (S35) & LINK PLATE FOR PROUGHING AND RETURN IDLER \\  & 499140121 (S36) & SHAFT FOR THE CENTRE ROLLER OF TROUGHING \\  & 499140167 (S37) & SHAFT DIA 60/62 X 450 MM LONG FOR IMPACT IDLER \\  & 499140241 (S38) & BARRELS FOR 2000 MM CONVEVOR RETURN IDLER \\ \hline \multirow{4}{*}{FRAME MAINTENANCE (M04)} & 492010408 (S41) & L ROD WITH PIN FOR 2400 MM CONVEVOR \\  & 499140103 (S42) & STANDARD FRAME \\  & 49914013 (S43) & STANDARD SHIFTABLE FRAMES IN COMPLETELY \\  & 499140118 (S43) & STRESS FRAMES FOR 1800 MM CONVEVOR SYSTEM \\  & 499170002 (S44) & SHIFTABLE A FRAME PLATE SET \\  & 499170022 (S45) & CABLE CLAMP FOR 1800 MM CONVEVOR FRAMES \\  & 499170036 (S46) & MAIN FRAME FOR FOUR ROLLER TRACK SHIFTER \\ \hline \multirow{4}{*}{BELT MAINTENANCE (M05)} & 499120215 (S51) & METAL COVER SHEET FOR 1800 SC BELT \\  & 499120001 (S52) & STEEL CORD CONVEVOR BELT 1800 MM ST 2250 \\  & 499120221 (S53) & E.R.W. PIPE SHED FOR 1800 MM BELTS AS PE \\  & 499120106 (S54) & BELT CRAMP FOR 1800 MM ST 4000 S.C BELT \\  & 499120102 (S55) & BELT FASTNERS PLATE TYPE (3 INCH) \\  & 499702001 (S56) & BELT PLULING CLAMP 50 MM \\  & 490070006 (S57) & BET DETESSING M/C CUTTER BLADES OF STEEL \\  & 497010020 (S58) & COTTON SHEET FOR BELT JOINTS WIDTH 1000 \\  & 490030132 (S59) & BET PRESSING AND LIFTING ARM 5/16 INCH ID, DWB HOSE \\ \hline \hline \end{tabular}
\end{table} 
Table 5: The spare parts information of the industrial example. Table 6 shows the steps of our solving method. \begin{tabular}{c c c} \hline
**Step** & **Description** \\ \hline Collection of maintenance data & \
\begin{tabular}{c} **Support Values** \\ **Thresholds values** \\ **Criteria (MinInterval, coverage, etc.)** \\ \end{tabular} \\ \hline Generation of sequential rules &
\begin{tabular}{c} **Rule Support** \\ **Rule Confidence** \\ **Lift** \\ **Chi-square measure** \\ \end{tabular} \\ \hline Classification by rules of maintenance activities & Accuracy and Coverage \\ \hline Generation of frequent spare parts groups & Historic and Support values \\ \hline \end{tabular}   
_Discussion of Results_  
We considered the seven maintenance activities of the mobile transport conveyor such as power section maintenance, loose fixings and noise reduction, idler maintenance, conveyor frame maintenance, belt maintenance, hydraulic system maintenance and bearing, and lubrication for our analysis. In Table 6, the maintenance activities related to spare parts codes and descriptions are given. For computational simplicity, we used 40% support values for demonstrating the rule-based classification approach.