Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis

Table 3

Actual example of automated detection for a new work cycle. Each event is assigned to its most likely working mode according to its corresponding occurrence count. In the table, we list the top 3 most likely working modes for each event for the new work cycle.

Top 3 most likely working modes
Working date = Jun.; working place = Eastern China
Event	Count	First	Second	Third
SPM	72	107	181	112
AOM	33	169	67	183
APTS	23	90	15	76
CPD	42	145	139	59
TCI	2	118	134	112
MCMC	0	Null	Null	Null
MCSC	0	Null	Null	Null
DSP	0	Null	Null	Null
MCES	0	Null	Null	Null
HPMI	0	Null	Null	Null
WUI	2	159	104	77
WPI	23	54	175	71
CSI	55	147	29	61
CFI	25	2	132	100
TCI	23	95	185	53
CM	127	12	49	192
LLM	55	189	114	23
RCI	0	Null	Null	Null
DOP	0	Null	Null	Null
LLF	40	111	10	42
RTM	297	191	104	52
CPW	0	Null	Null	Null
RCSW	0	Null	Null	Null
OPI	95	177	176	101
EAI	56	126	100	170
BVI	77	177	53	146
CPI	60	164	104	149
MCI	60	177	175	162
SCI	66	120	149	73
CSAI	0	Null	Null	Null
ISC	51	68	149	23
HOS	0	Null	Null	Null
SoE	33	119	112	107