United States
Environmental Protection
Agency
Municipal Environmental Research *•
Laboratory
Cincinnati OH 45268
Research and Development
EPA-600/S2-82-044 August 1982
 Project Summary
Evaluation and
Documentation of Mechanical
Reliability of Conventional
Wastewater Treatment Plant
Components
David W. Shultz and Van B. Parr
  The  study summarized  here was
initiated to  determine the in-service
reliability, maintainability, and availa-
bility of selected critical wastewater
treatment plant components. Compo-
nents were considered critical if their
failure caused an immediate impact
on effluent quality.
  Eight treatment plant components
were  selected for study: pumps,
power transmissions,  motors, com-
pressors, diffusers, valves, controls,
and conveyors. These components
were from four types of wastewater
treatment plants: air activated sludge,
oxygen activated sludge, trickling fil-
ter, and rotating biological contactor
(RBC). Operation and maintenance
data obtained from nine  operating
plants  were used to estimate failure
rates,  mean time between failures
(MTBF), mean time to repair (MTTR),
and availability for each component.
These  performance statistics are by
component  type, size range, and
application.  Performance  statistics
were calculated from operating data
for 119 pumps, 249 power transmis-
sions, 285 motors, 17 compressors,
13 valves, and 269 controls.
  Design engineers and plant opera-
tors can use these calculated perfor-
mance statistics to assist in selecting
new equipment. The development of a
performance  data base and subse-
quent proper use of the data should
improve  treatment  plant perfor-
mance. These data allow the perfor-
mance  expected from  certain
equipment in certain applications to
be estimated.
  This Project Summary was devel-
oped by  EPA's Municipal Environ-
mental  Research  Laboratory,
Cincinnati. OH. to announce key find-
ings of the research project that is
fully documented in a separate report
of the same title (see Project Report
ordering information at back).
Introduction
  Approximately 21,000  publicly
owned municipal  treatment plants
(POTW's) operate in the United States
at the present time, with 1,000 to 1,200
new  plants being  constructed each
year  Since  1957, federal grants
exceeding  $20 billion  have  been
awarded to help state and local govern-
ments construct  these treatment
plants. Once constructed, local govern-
ments become responsible for plant
operation in accordance with effluent
discharge permit requirements estab-
lished by the National Pollutant  Dis-
charge Elimination System (NPDES).

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  Many  POTW's are apparently not
meeting  NPDES permit requirements.
For many years, widespread operation
and  maintenance  problems  with
POTW's  have  resulted  in  inefficient
plant operations. A 1975 EPA analysis
of 954 POTW inspections showed 386
plants had sufficient design and opera-
tional performance data to determine
whether  the plant was meeting design
criteria for biochemical oxygen demand
(BOD) removal. Forty percent of the 386
plants failed to meet design BOD re-
moval. Forty-nine  percent  of  305 of
these  plants were  operating  below
design criteria  for  suspended solids
removal.  Other  studies have indicated
significant problems of noncompliance
by POTW's with NPDES permits.
  In recognition of these operational
and  maintenance  problems,  EPA
initiated  a  national  research  program
dealing with performance and reliability
of POTW's. A significant  part  of the
effort involves determining the reliabil-
ity of various mechanical components
used at POTW's.

Technical Approach
Criticality Analysis
  To determine the in-service reliability
of  critical   mechanical  components,
eight components (listed  above) were
identified as critical.  After a criticality
analysis  was conducted to determine
the  component-application  combina-
tions to be included in the study, a fail-
ure  mode, effects,  and  criticality
analysis was performed for each of the
four  types of  wastewater treatment
plants. In performing the analysis,  it
was assumed that there was no equip-
ment duplication and that the plant was
operating at the design condition. The
resulting  criticality  rating  for  each
component-application  combination
reflected the degree of impact on the
effluent quality (significant, minimal, or
no  impact) as a function  of time after
failure (0-4 hours, 4-12  hours, or 24
hours).
  From this analysis, the components
included  in the data collection effort
were:
  •  Raw and intermediate wastewater
     pumps, power transmission, and
     motors for all plant types
  •  Return  activated sludge  pumps,
     power transmission, and motors
     for air and oxygen activated sludge
  •  Recirculation pump, power trans-
     mission, and motors for trickling fil-
     ter  and   rotating   biological
     contactors
  • Motors and power transmission for
    final clanfiers for all plant types
  • Motors, power transmission, com-
    pressors, valves, controls, and dif-
    fusers  used  in  dissolved  air
    production  application  and
    mechanical aerators in air  acti-
    vated  sludge plants
  • Motors, power transmission, recir-
    culation pumps, controls, diff users,
    and valves used in oxygen genera-
    tion application and recirculation in
    oxygen activated sludge plants
  • Liquid application systems for trick-
    ling filter plants
  • Compressors, motors, power trans-
    mission, and controls used in prim-
    ary clarifiers  and primary sludge
    pumping  in trickling filter and RBC
    plants
  • Recirculation pumps controls used
    in  secondary  treatment  in  RBC
    plants
  • Raw and intermediate wastewater
    pump controls  used in all plant
    types  and valves used in raw and
    intermediate pumps in trickling fil-
    ter plants
  • Controls  used in dosing siphon in
    secondary treatment in trickling fil-
    ter plants
  • Controls used in final clarifiers for
    all plant types
  • Pumps,  motors,  power transmis-
    sion, and pressure vessels used in
    disinfection for all plant types.

Data Source Selection
  Having  defined the data collection
requirements, treatment plants having
adequate  records  from which these
data could be collected were selected by
developing a  list  of candidate plants,
selecting plants for 1-day screening vis-
its, conducting the  1-day visits,  and,
finally, selecting the study plants.
  From  a candidate list of  approxi-
mately 200 treatment  plants, the 9
plants to be included in the data acquisi-
tion effort were selected. The criteria
used to make the final selection were:
  • Existence  of  adequate  and com-
    plete  preventive  and  corrective
    maintenance records for all major
    equipment  components at each
    plant;
  • Existence of plant equipment typi-
    cal of the generic equipment found
    in the four types of treatment plants
    under consideration; and
  • An indication that plant operations
    and maintenance personnel were
    willing to cooperate in the data col-
    lection effort.
Data Acquisition

  Maintenance records for each critical
component were reviewed and the data
were encoded on data collection forms
(Figure 1). Required data elements are
shown at the top of this form. All data
collected in the field  were encoded
using a numbering system developed to
allow a computer program analysis of
the data. These codes are shown in the
appropriate columns in Figure  1. For
example, column one contains the code
number 04-8731. The first two digits,
04, identify the plant  location. The
second four digit number represents a
record number used to identify that spe-
cific piece of  equipment.  Column two,
plant type, shows the number 05, which
identified this plant as a combination
air/oxygen  activated  sludge  plant.
Codes for each  of  the remaining  23
columns are shown, with a description
of each given below the code. Column
23 was for recording actual down time
of sludge processing systems. Data for
the sludge processing systems at each
facility were recorded as shown at the
bottom of Figure 1. These data allowed
calculation of the MTBF and availability
of the system.
  The data collection from plant records
often required a degree of judgment and
interpretation. This was especially true
when deciding when equipment had
actually failed. A failure was defined as
when the mechanical  component  no
longer performed its intended function
because of a fa ilure of that component's
subcomponent(s). In contrast, an equip-
ment malfunction was defined as situa-
tions  where the equipment could  be
placed back into service by minor clean-
ing, or adjustments, or both.  Only data
for down time considered to be caused
by failure were recorded. Malfunctions
including pump blockages, reduction in
blower capacities due to dirty air filters,
and plugging of air diffusers were not
recorded.  If interpretation of mainte-
nance records was questionable, the
data  collection  team conferred with
plant   maintenance  staff  to  decide
whether a failure had occurred.

Data Analysis

  A  computer program  entitled
"Wastewater Reliability Analysis Pro-
gram — WRAP" was written to handle
the sorting and analysis of the data
base.  Reliability, maintainability, main-
tenance, and availability statistics were

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      Plant No. 4

     Unit Number
2
K)
Combination
Air/Oxygen Act. SI.
Incinerator






July. 1976
100%
II Failures










Down time
1.584 hours
August. 1979

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Sludge Processing Equipment
 Plant No. 4

Unit Number
2
Combination
Air/Oxygen Act. SI.
Secondary treatment
Pumps
Pump propeller
axial
Intermediate wastewater
Pump
100.000 gpm
Bearing, ball
Double row
Effluent impact
within 4 hours
July, 1977
100%
1 Failure
Not known
Normal wear
24-168 hours
6 hrs - 24 hours
Dry basement
Replaced
Not known
A His Chalmers
Not known
Corrective maintenance

August. 1979
8 hours
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Wastewater Treatment Equipment
        Plant
        location
                                                             Type
                                                             Unit
                                                             operation
                                                   Co
                                                             Broad
                                                             Classification
                                                             Generic
                                                             groups
                                                   Ol
                                                             Application
                                                             Size
                                                             Sub-
                                                             component
                                                   CD
                                                             Criticality
                                                                          co
                                                             Date
                                                             installed
                                                             % Operating
                                                             time
                                                             Failures
                                                             Failure
                                                             mode
                                                   co
                                                             Cause of
                                                             Failure
                                                             Down
                                                             time
                                                             Time to
                                                             repair
                                                             Environmental
                                                             factor
                                                             Part
                                                             disposition
                                                             Subcomponent j*
                                                             manufacturer
                                                             Component
                                                             manufacturer
                                                             Part Inv.
                                                             information
                                                             Type of
                                                             maint.
                                                    o
                                                             Down time of
                                                             unit op.
                                                             fSL only)
                                                             Collection
                                                             date
                                                             Clock time
                                                             repair
Figure 1.  Sample of a Field Data Collection Form.
 calculated from the data base across all
 plants and have been grouped by:
   • Components
   • Components by application
   • Components by size/capacity
   • Components by generic group
   • Components by generic group by
     application
   • Components by generic group by
     size/capacity
   Further calculations included failure
 distribution information by subcompo-
 nent type for the first four categories
 listed above and reliability and availabil-
 ity statistics for sludge processes. An
 example of the type of reliability, main-
 tainability, maintenance, and availabil-
 ity statistics calculated from the data is
 shown in Table 1. For each application,
 the following data elements/statistics
 are given:
    1. Number of units (pumps)  in the
      data base.
    2 Number of failures reported.
    3. Total operating hours, in millions
      of hours.
   Reliability Statistics
    4. Mean   time   between failures
      (Overall MTBF) for the pumps in
      millions of hours.
    5. Minimum MTBF (Min MTBF) for
      any subclassification in the cate-
      gory.
    6. Maximum MBTF (Max MTBF) for
      any subclassification in the cate-
      gory.
    7. Lower 90% confidence limit on
      the point MTBF estimate (overall
      90% CL)
   Maintainability and Maintenance
   Statistics
    8. Preventive  maintenance  man
      hours  per  unit  per year (PM-
      hr/Umt/yr)
    9. Corrective  maintenance   man
      hours  per  unit  per year (CM-
      hr/Unit/yr)
   10. Mean time to repair (MTTR)
  Availability Statistics
   11. Inherent availability (AVI)
   12 Operating availability of the com-
      ponent (AVO).
  Table 2 is an example of data on sub-
component failures by component type


Results
  The performance statistics calculated
from  the data serve as the best  sum-
mary of the data  base in terms  of the
reliability,  maintainability,  mainte-
nance, availability, and subcomponent
failure distribution parameters for the
nine wastewater treatment plants.

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Table 1 . Reliability and Maintenance Data for Pumps — Open Impeller Centrifugal by Application
Operating Overall Mm Max Overall PM-Hrs/ CM-Hrs/

Application
Raw wastewater
pumping
Intermediate
wastewater
pumping
Return activated
sludge
handling
TOTAL
No of
Units

34


9


27
70
No of
Failures

60


9


28
97
Hours
fx 10e Hr)

.9277


.1669


1.023
2.1176
MTBF
Ix 706 Hr)

.01530


.01727


.03569
.02166
MTBF MTBF 90% CL
Ix 10e Hr) fx 10e Hr) Ix TO6 Hr)

— — .07303


— — .07775


— - .02535
.07530 .03563 .07977
Unit/
Year

.009442


1079


.001745
.003428
Unit/
Year

.3179


.7871


.1028
.094773
MTJR
(Hr)

8483


6.667


6.786
7.825

AVI

.994


.9996


.9998
.99962

AVO

.9845


.9548


.9998
.98955
  Table 3 is an example of the "by com-
ponent" grouping, showing reliability
statistics for the eight critical compo-
nents included in the data base, across
all plants. Table 4 presents the main-
tainability, maintenance, and availabil-
ity statistics for the eight components
across all plants. As previously indi-
cated, the failure  data for sludge pro-
cesses were also  collected at the nine
treatment plants, and the results of the
data analysis  for  five processes are
given in Table 5.

Conclusions
  Based on the results of the perform-
ance data collection and analysis effort
conducted during this project, the fol-
lowing general conclusions are made:
   1. Three  types  of  performance
     statistics  (reliability,   maintain-
     ability, and availability) have been
     determined  for  selected  critical
     mechanical  components  of
     wastewater treatment plants
   2 These  statistics were not  avail-
     able elsewhere  in the literature,
     from   manufacturers,  or  from
     owners of equipment.
   3. Design engineers can use  these
     performance statistics as a tool to
     compare and predict performance
     of generic equipment in  various
     applications and to design relia-
     bility into new treatment  plants.
   4. Wastewater  treatment  plant
     operators can use these  data to
     develop spare parts inventories
     for new equipment and to estab-
      lish preventive maintenance pro-
     grams.
   5.  Despite the significant number of
     operating hours included  in this
     study,  this  data base does  not
     cover all the size ranges or types
     of equipment found in the 21,000
     treatment plants operating in  the
      United States. Lacking are data
Table 2.    Pumps — Open Impeller Centrifugal
Rank
1
2
3
4
5
Subcomponent Type
Impeller wear ring or plate
Seal, packed, water, oil, grease lubricated
Solenoid valve
Bearing, ball, double row
Bearing cast pillow
No. Of
Failures
15
14
14
6
5
Relative
Frequency
.197
.184
.184
.079
.066
Table 3.    Mean Time Between Failure I MTBFj for Components
Component
Pumps
Power transmissions
Motors
Compressors
Diffusers, air/water
Valves
Controls
Conveyor (unconfined
materials handling)
Overall
MTBF
Ix 106 Hr)
.032066
.03562
.06670
.00714
.01813
.01444
.08358
.14848
Mm
MTBF
(x 70s Hr)
.021662
.01785
.01088
.00562
.01263
.00893
.00393
.06175
Max
MTBF
(x 106 Hr)
.074191
.71091
.11482
.08392
1.834
.03259
.10064
.35856
Overall
90% CL
(x 106 Hr)
.028630
.03317
.06122
.00631
.O1667
.01040
.07569
.11690
 Table 4.    Maintenance Statistics for Components
Component
Pumps
Power transmissions
Motors
Compressors
Diffusers, air/water
Valves
Controls
Conveyors (unconfined
materials handling)
PM-Hrs/
Unit/Yr
.00227
.00032
.00098
.03399
.00065
00684
.00025

.00055
CM-Hrs/
Unit/Yr
.05177
.00469
.00660
. 1 7843
.04664
.73845
.00261

.10086
MTTR
Hr
9.541
2.273
6.854
0.960
8.305
11.615
3.696

4.768
AVI
.99968
.99994
.99989
.99987
.99951
.99879
.99996

.99996
AVO
.99116
.99898
.99816
.99306
.99875
.96446
.99870

.99980

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Table 5.
Reliability of Sludge Processes
Process
Sludge process external to
WW treat, process
Anaerobic digestion
incineration
Sludge thickening DAF
Vacuum filter
Operating
Hours
(x 106 Hr)
.780
.678
.374
406
.697
No. of
Failures
400
40
454
702
1150
MTBF
(x TO6 Hr)
.00195
.0167
.000824
.000577
000606
90% CL
(x 10s Hr)
.00183
.0137
000776
.000583
.000583
(x W6 Hr)
A vail.
.997
1.000
.723
.994
.931
     for many small size  range com-
     ponents; these records are not
     routinely  kept  by  the smaller
     plants surveyed during this study.
   6. The quality of data obtained from
     the nine  treatment  plants was
     good. The form of record keeping
     sometimes  required judgments
     as to the appropriateness with re-
     spect to  project data  require-
     ments.
   7. Effluent quality from wastewater
     treatment plants can be expected
     to  improve  (to the  extent that
     equipment  failure  causes  de-
     creases in quality) over the long
     term by use of  performance sta-
     tistics by design  engineers and
     operators. For  example,  design
     engineers can use these data as
     an additional tool when selecting
     equipment, in determining the re-
     liability  and  availability of unit
     operations as well as entire treat-
     ment systems,  and in predicting
     operational performance  of
     equipment  in  various  applica-
     tions.  Plant owners/operators
     can use preventive and corrective
     maintenance data to help refine
     overall future maintenance bud-
     get  and  staffing  projections.
     Knowledge of equipment failure
     rates and subcomponent failures
     can provide  input into determin-
     ing spare parts  inventories.
  The full report was submitted  in ful-
fillment of Contract No. 68-03-2712 by
Southwest  Research  Institute  under
the sponsorship of the  U S. Environ-
mental Protection Agency
                                David W. Shultz and Van B. Parr are with Southwest Research Institute, San
                                  Antonio, TX 78284.
                               Jon Bender is the EPA Project Officer (see below}.
                                The complete report, entitled "Evaluation and Documentation of Mechanical
                                  Reliability of Conventional Wastewater Treatment Plant Components," (Order
                                  No. PB 82-227 539; Cost: $19.50. subject to change) will be available only
                                  from:
                                       National Technical Information Service
                                       5285 Port Royal Road
                                       Springfield, VA22161
                                        Telephone: 703-487-4650
                                The EPA Project Officer can be contacted at:
                                       Municipal Environmental Research Laboratory
                                       U.S. Environmental Protection Agency
                                       Cincinnati, OH 45268
                                                                            •&U. S. GOVERNMENT PRINTING OFFICE: 1982/559-092/0464

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Environmental Protection
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Center for Environmental Research
Information
Cincinnati OH 45268
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