search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
BUILT-IN DATA GATHERING


Integrated bussed data systems incorporated into the designs of modernized helicopters, such as the CH-47 Chinook helicopter shown here during flare testing, provide “on platform” data-gathering capability. (U.S. Army photo.)


There are three basic ways to reduce bur- den: by reducing the total number of these events, the frequency of a single event, or the cost of an event. But only after identifying and analyzing the causes of these events can we reduce them. The challenge lies in having clear visibility and understanding of the events while seeking to improve the processes that facilitate burden reduction.


RELIABILITY-CENTERED TOOL An important tool for FM is reliability- centered maintenance (RCM) analysis. RCM is a process that identifies the opti- mal failure management strategy for a system. Using this and other analytical tools, FM pinpoints maintenance, reli- ability, and cost drivers and sets in motion a continuous improvement process.


All aircraft or systems maintenance programs are built upon condition monitoring—periodic inspections or functional tests to identify impending


failures. Digital Source Collectors and Heath Usage Monitoring Systems are being installed on all Army rotary-wing aircraft. Although an important new tool, condition-based maintenance (CBM)— which is based on evidence of the need for maintenance before failure occurs, using analysis of data collected automatically by sensors—will not totally replace this condition monitoring process, but rather will enhance it and automate the process where appropriate and effective.


For FM to be most effective, it must be part of a robust RCM process that period- ically reassesses failure modes and drivers and their impact on readiness, cost, or burden on our maintainers. FM and the RCM process will identify candidates for improvement and recommend the best, most cost-effective approach.


DEFINING THE DATA “On platform” data are all system, sensor, and performance data available through


existing integrated data busses or the use of “strap on” systems. This capability was resident in some aircraft before CBM came into use. The AH-64D Apache Longbow, for example, was equipped with the Maintenance Data Recorder in its design. The vibration data sensors, in the form of accelerometers, were added later using the Modernized Signal Pro- cessing Unit.


Modernized aircraft, such as the UH-60M Black Hawk and CH-47F Chinook, will have integrated bussed data incorporated into their system designs. Whether these systems were already present or were developed and strapped on later, they all provide “on platform” data gathering.


“At platform” data include the mainte- nance processes, activities, and recorded events that reside on the aircraft logbook computers. In the past, maintenance activities were recorded on forms and stored at the unit for airworthiness and


ASC.ARMY.MIL 71


LOGISTICS


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154  |  Page 155  |  Page 156  |  Page 157  |  Page 158  |  Page 159  |  Page 160  |  Page 161  |  Page 162  |  Page 163  |  Page 164  |  Page 165  |  Page 166  |  Page 167  |  Page 168  |  Page 169  |  Page 170  |  Page 171  |  Page 172  |  Page 173  |  Page 174  |  Page 175  |  Page 176  |  Page 177  |  Page 178  |  Page 179  |  Page 180